Professor Joarder Kamruzzaman
Director, Centre of Smart Analytics
Professor Joarder Kamruzzaman is Professor of information technology at Federation University Australia. Dr Kamruzzaman’s research interests include sensor networks, Internet of Things, machine learning and cybersecurity.
Joarder has published over 250 peer-reviewed publications, mostly in top-ranked journals and conferences in his field. He has served in leadership capacities for numerous international conferences, and since 2012 has been Editor of the Elsevier Journal of Network and Computer Applications. He was the founding Program Co-Chair of the first International Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys), China in 2015.
Joarder has received several prestigious awards for his research, and secured millions of dollars in competitive research funding, including the highly prestigious Australian Research Council grant and Collaborative Research Centre grant.
Joarder obtained his PhD in Information Systems from Muroran Institute of Technology, Japan in 1993.
A Novel Dataset for Baby Broccoli Identification by using YOLOv8 Model
A Temporal Deep Q Learning for Optimal Load Balancing in Software-Defined Networks
Device Identification Method for Internet of Things Based on Spatial-Temporal Feature Residuals
Energy Conservation in Passive Optical Networks: A Tutorial and Survey
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
Special Section Guest Editorial: Real-Time Image Steganography and Steganalysis
Task offloading strategies for mobile edge computing: A survey
The Path to Defence: A Roadmap to Characterising Data Poisoning Attacks on Victim Models
Trustworthiness of IoT Images Leveraging with Other Modal Sensor's Data
Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets
Wireless Underground Sensor Communication Using Acoustic Technology
Work-in-Progress Paper: Synergizing YOLOv8 and PCA for Size Estimation of Baby Broccoli
An Evidence Theoretic Approach for Traffic Signal Intrusion Detection
A Novel Dynamic Software-Defined Networking Approach to Neutralize Traffic Burst
Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
Blockchain technology and application: an overview
Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data
Decentralized content sharing in mobile ad-hoc networks: A survey
Deep Learning and Federated Learning for Screening COVID-19: A Review
Detecting Fake News of Evolving Events using Machine Learning: Case of Russia-Ukraine War
Detecting Fake News of Evolving Events using Machine Learning: Case of Russia-Ukraine War
Dynamic Trust Boundary Identification for the Secure Communications of the Entities via 6G
Process Reliability Analysis Applied for Continual Improvement of Large-Scale Alumina Refineries
Quantum Particle Swarm Optimization for Task Offloading in Mobile Edge Computing
RBFK cipher: a randomized butterfly architecture-based lightweight block cipher for IoT devices in the edge computing environment
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems
Software-Defined Access Control in Smart Grids
UDTN-RS: a New Underwater Delay Tolerant Network Routing Protocol for Coastal Patrol and Surveillance
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications
A Low-Level Hybrid Intrusion Detection System Based on Hardware Performance Counters
A tree-based stacking ensemble technique with feature selection for network intrusion detection
Cyber Resilience Modelling for the Operations of Hybrid Network
Failure analysis of Slurry Pump assets in refinery for reduction of risks and costs
False Data Detection in a Clustered Smart Grid Using Unscented Kalman Filter
Fuzzy-Based Operational Resilience Modelling
Identification of Fake News: A Semantic Driven Technique for Transfer Domain
Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern
Remote reconfiguration of FPGA-based wireless sensor nodes for flexible Internet of Things
Security of Internet of Things Devices: Ethical Hacking a Drone and its Mitigation Strategies
Sensitivity Analysis for Vulnerability Mitigation in Hybrid Networks
Spam Email Categorization with NLP and Using Federated Deep Learning
Vulnerability Assessment framework for a Smart Grid
A novel ofdm format and a machine learning based dimming control for lifi
This paper proposes a new hybrid orthogonal frequency division multiplexing (OFDM) form termed as...
A Smart Priority-Based Traffic Control System for Emergency Vehicles
Unwanted events on roads, such as incidents and increased traffic jams, can cause human lives and...
Assessing Reliability of Smart Grid Against Cyberattacks using Stability Index
Assessing Trust Level of a Driverless Car Using Deep Learning
The increasing adoption of driverless cars already providing a shift to move away from...
Churn Prediction in Telecom Industry using Machine Learning Ensembles with Class Balancing
Editorial to special issue on resource management for edge intelligence
No Abstract
Green Underwater Wireless Communications Using Hybrid Optical-Acoustic Technologies
Underwater wireless communication is a rapidly growing field, especially with the recent...
How Much i Can Rely on You: Measuring Trustworthiness of a Twitter User
Trustworthiness in an online environment is essential because individuals and organizations can...
Malware detection in edge devices with fuzzy oversampling and dynamic class weighting
State estimation within ied based smart grid using kalman estimates
Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications
To enhance industrial production and automation, rapid and faster transportation of raw materials...
A machine learning approach for prediction of pregnancy outcome following IVF treatment
API Based Discrimination of Ransomware and Benign Cryptographic Programs
Ransomware is a widespread class of malware that encrypts files in a victim’s computer and...
A robust forgery detection method for copy–move and splicing attacks in images
Internet of Things (IoT) image sensors, social media, and smartphones generate huge volumes of...
A Survey on Behavioral Pattern Mining from Sensor Data in Internet of Things
The deployment of large-scale wireless sensor networks (WSNs) for the Internet of Things (IoT)...
A survey on context awareness in big data analytics for business applications
The concept of context awareness has been in existence since the 1990s. Though initially applied...
Attacks on self-driving cars and their countermeasures: A survey
Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or...
Cyber Attacks Detection from Smart City Applications Using Artificial Neural Network
Recently, the widespread deployment of the Internet of Things (IoT) applications has contributed...
Cyberattacks detection in iot-based smart city applications using machine learning techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has...
Friendly Jammer against an Adaptive Eavesdropper in a Relay-aided Network
In this paper, we consider the problem of information theoretic security for a single-input...
Hybrid intrusion detection system based on the stacking ensemble of C5 decision tree classifier and one class support vector machine
Cyberttacks are becoming increasingly sophisticated, necessitating the efficient intrusion...
IoT Sensor Numerical Data Trust Model Using Temporal Correlation
Internet of Things (IoT) applications are increasingly being adopted for innovative and...
Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges
Previous survey articles on Low-Powered Wide-Area Networks (LPWANs) lack a systematic analysis of...
Mobile malware detection with imbalanced data using a novel synthetic oversampling strategy and deep learning
Mobile malware detection is inherently an imbalanced data problem since the number of benign...
Performance Enhancement of Intrusion detection System Using Bagging Ensemble Technique with Feature Selection
An intrusion detection system's (IDS) key role is to recognise anomalous activities from both...
Robust Malware Defense in Industrial IoT Applications Using Machine Learning with Selective Adversarial Samples
Industrial Internet of Things (IIoT) deploys edge devices to act as intermediaries between...
Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone
In this paper, we consider deceptive friendly jammers in a half-duplex random wireless network...
State Estimation in the Presence of Cyber Attacks Using Distributed Partition Technique
The security of smart grid (SG) is an open problem. False data injection attacks (FDIAs) could...
Vulnerability Modelling for Hybrid Industrial Control System Networks
With the emergence of internet-based devices, the traditional industrial control system (ICS)...
A dynamic content distribution scheme for decentralized sharing in tourist hotspots
Decentralized content sharing (DCS) is emerging as a suitable platform for smart mobile device...
An efficient RANSAC hypothesis evaluation using sufficient statistics for RGB-D pose estimation
Achieving autonomous flight in GPS-denied environments begins with pose estimation in...
A novel ensemble of hybrid intrusion detection system for detecting internet of things attacks
The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on...
Assessing transformer oil quality using deep convolutional networks
Electrical power grids comprise a significantly large number of transformers that interconnect...
Enhancing branch predictors using genetic algorithm
Dynamic branch prediction is a hardware technique used to speculate the direction of control...
Generative malware outbreak detection
Recently several deep learning approaches have been attempted to detect malware binaries using...
Instruction Cognitive One-Shot Malware Outbreak Detection
New malware outbreaks cannot provide thousands of training samples which are required to counter...
Measuring trustworthiness of IoT image sensor data using other sensors' complementary multimodal data
Trust of image sensor data is becoming increasingly important as the Internet of Things (IoT)...
Mobile malware detection: An analysis of deep learning model
Due to its widespread use, with numerous applications deployed everyday, smartphones have become...
One-shot malware outbreak detection using spatio-temporal isomorphic dynamic features
Fingerprinting the malware by its behavioural signature has been an attractive approach for...
Opinion Formation in Online Social Networks: Exploiting Predisposition, Interaction, and Credibility
The challenging but intriguing problem of modeling opinion formation dynamics in online social...
Selective adversarial learning for mobile malware
Sliding Window-based Regularly Frequent Patterns Mining over Sensor Data Streams
WSNs generate a large amount of data in the form of data stream; and mining these streams with...
Survey of intrusion detection systems:techniques, datasets and challenges
Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in...
The Co-Evolution of Cloud and IoT Applications: Recent and Future Trends
Internet of things (IoT) is developed to enhance easy communication by creating a large network...
Trusted autonomous vehicle: Measuring trust using on-board unit data
Vehicular Ad-hoc Networks (VANETs) play an essential role in ensuring safe, reliable and faster...
Vulnerability modelling for hybrid IT systems
Common vulnerability scoring system (CVSS) is an industry standard that can assess the...
Acoustic sensor networks in the Internet of Things applications
Recent advancements in acoustic sensing and electronics technologies offer enormous opportunities...
An efficient data delivery mechanism for AUV-based Ad hoc UASNs
Existing 3D Underwater Acoustic Sensor Networks (UASNs) are either fixed having nodes anchored...
Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble
It is well known that breast density in mammograms may hinder the accuracy of diagnosis of breast...
Detecting intrusion in the traffic signals of an intelligent traffic system
Traffic systems and signals are used to improve traffic flow, reduce congestion, increase travel...
Detecting Splicing and Copy-Move Attacks in Color Images
Image sensors are generating limitless digital images every day. Image forgery like splicing and...
Influence of clustering on the opinion formation dynamics in online social networks
With the advent of Online Social Networks (OSNs), opinion formation dynamics continuously...
Mobile malware detection - An analysis of the impact of feature categories
The use of smartphones and hand-held devices continues to increase with rapid development in...
Modelling majority and expert influences on opinion formation in online social networks
Two most important social influences that shape the opinion formation process are: (i) the...
Passive detection of splicing and copy-move attacks in image forgery
Internet of Things (IoT) image sensors for surveillance and monitoring, digital cameras, smart...
Significance level of a big data query by exploiting business processes and strategies
Querying data is one of the most frequent activities in business organisations. The tasks...
A rule based inference model to establish strategy-process relationship
An effective relationship between business processes and their relevant strategies helps...
Decentralized content sharing among tourists in visiting hotspots
Content sharing with smart mobile devices using decentralized approach enables users to share...
Dependable large scale behavioral patterns mining from sensor data using Hadoop platform
Wireless sensor networks (WSNs) will be an integral part of the future Internet of Things (IoT)...
Dynamic content distribution for decentralized sharing in tourist spots using demand and supply
Decentralized content sharing (DCS) is emerging as an important platform for sharing contents...
Exclusive Use Spectrum Access Trading Models in Cognitive Radio Networks: A Survey
Spectrum frequency is a valuable resource for wireless communication but very limited in its...
Exploiting Evolving Trust Relationships in the Modelling of Opinion Formation Dynamics in Online Social Networks
Mass participation of the members of a society in discussions to resolve issues related to a...
Impact of friendly jammers on secrecy multicast capacity in presence of adaptive eavesdroppers
We consider the problem of security in wireless multicasting for a multiple-input...
Periodic associated sensor patterns mining from wireless sensor networks
Mining interesting knowledge from the massive amount of data gathered in wireless sensor networks...
Significance level of a query for enterprise data
To operate enterprise activities, a large number of queries need to be processed every day...
Survey of recent cyber security attacks on robotic systems and their mitigation approaches
With the rapid expansion of digital media and the advancement of the artificial intelligence,...
A data mining approach for machine fault diagnosis based on associated frequency patterns
Bearings play a crucial role in rotational machines and their failure is one of the foremost...
An efficient data extraction framework for mining wireless sensor networks
Behavioral patterns for sensors have received a great deal of attention recently due to their...
Carry me if you can: A utility based forwarding scheme for content sharing in tourist destinations
Message forwarding is an integral part of the decentralized content sharing process as the...
Modeling multiuser spectrum allocation for cognitive radio networks
Spectrum allocation scheme in cognitive radio networks (CRNs) becomes complex when multiple CR...
PRADD: A path reliability-aware data delivery protocol for underwater acoustic sensor networks
Underwater Acoustic Sensor Networks (UASNs) are becoming increasingly promising to monitor...
Search and tracking algorithms for swarms of robots: A survey
Target search and tracking is a classical but difficult problem in many research domains,...
Who are convincing? An experience based opinion formation dynamics in online social networks
Online social network (OSN) is one of the major platforms where our opinions are formed...
A comprehensive spectrum trading scheme based on market competition, reputation and buyer specific requirements
In the exclusive-use model of spectrum trading, cognitive radio devices or secondary users can...
A mapreduce based technique for mining behavioral patterns from sensor data
An efficient pose estimation for limited-resourced MAVs using sufficient statistics
A new convergence rate estimation of general artificial immune algorithm
Artificial immune algorithm has been used widely and successfully in many computational...
Business context in big data analytics
Condition monitoring through mining fault frequency from machine vibration data
Consistency driven opinion formation modelling in presence of external sources
Content exchange among mobile tourists using users' interest and place-centric activities
Content sharing among visitors with irregular movement patterns in visiting hotspots
Distinctive Phenotype Identification for Breast Cancer Genotypes Among Hereditary Breast Cancer Mutated Genes
It is well known that the mutations in BRCA1 or BRCA2 gene can cause the hereditary breast...
Mining Associated Patterns from Wireless Sensor Networks
Mining of sensor data for useful knowledge extraction is a very challenging task. Existing works...
MPDF: Movement predicted data forwarding protocol for Underwater Acoustic Sensor Networks
Opinion formation dynamics under the combined influences of majority and experts
Share-Frequent Sensor Patterns Mining from Wireless Sensor Network Data
Mining interesting knowledge from the huge amount of data gathered from WSNs is a challenge....
Welcome message from the dependsys 2015 program chairs
No Abstract
A modified immune network optimization algorithm
An adaptive approach to opportunistic data forwarding in underwater acoustic sensor networks
An Analytical Approach for Voice Capacity Estimation Over WiFi Network Using ITU-T E-Model
To ensure customer satisfaction and greater market acceptance, voice over Wi-Fi networks must...
A novel algorithm for mining behavioral patterns from wireless sensor networks
A technique for parallel share-frequent sensor pattern mining from wireless sensor networks
Dynamic adjustment of sensing range for event coverage in wireless sensor networks
One primary goal of sensor networks is to guarantee robust and accurate event detection while...
Reputation and User Requirement Based Price Modeling for Dynamic Spectrum Access
Secondary service providers can buy spectrum resources from primary service providers for a short...
Self and static interference mitigation scheme for coexisting wireless networks
High density of coexisting networks in the Industrial, Scientific and Medical (ISM) band leads to...
Sensor selection for tracking multiple groups of targets
Group target tracking is a challenge for sensor networks. It occurs where large numbers of...
Abrasion Modeling of Multiple-Point Defect Dynamics for Machine Condition Monitoring
Multiple-point defects and abraded surfaces in rotary machinery induce complex vibration...
ACSP-tree: A tree structure for mining behavioral patterns from wireless sensor networks
A HMM-based adaptive fuzzy inference system for stock market forecasting
In this paper, we propose a new type of adaptive fuzzy inference system with a view to achieve...
An Adaptive Self-Configuration Scheme for Severity Invariant Machine Fault Diagnosis
Vibration signals, used for abnormality detection in machine health monitoring (MHM), exhibit...
An opportunistic message forwarding protocol for underwater acoustic sensor networks
Convergence of Elitist Clonal Selection Algorithm Based on Martingale Theory
Mining associated sensor patterns for data stream of wireless sensor networks
Multi-step support vector regression and optimally parameterized wavelet packet transform for machine residual life prediction
Condition based maintenance (CBM) in the process industry helps in determining the residual life...
Object analysis with visual sensors and RFID
Object analysis using visual sensors is one of the most important and challenging issues in...
Regularly frequent patterns mining from sensor data stream
Social-connectivity-aware vertical handover for heterogeneous wireless networks
Vertical handover mechanism for a WLAN-cellular heterogeneous network could be made efficient...
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction
In this paper, we introduce a new hybrid of Hidden Markov Model (HMM), Fuzzy Logic and...
A novel vertical handover scheme for diminution in social network traffic
Application of artificial intelligence to improve quality of service in computer networks
Resource sharing between book-ahead (BA) and instantaneous request (IR) reservation often results...
Delay-aware query routing tree for wireless sensor networks
Dynamic clusters graph for detecting moving targets using WSNs
Dynamic sensors collaboration to balance the accuracy-lifetime trade-off in multiple-target tracking
Dynamic sensors selection for overlapped multiple-target tracking using eagerness
Guest editorial- Journal of Networks Vol 7
[No abstract available]
Guest editorial-Journal of Networks Vol 7
[No abstract available]
Impact characterization of multiple-points-defect on machine fault diagnosis
Inchoate Fault Detection Framework: Adaptive Selection of Wavelet Nodes and Cumulant Orders
Inchoate fault detection for machine health monitoring (MHM) demands high level of fault...
Machine health monitoring based on stationary wavelet transform and fourth-order cumulants
Early stage faults detection for machine health monitoring demands high level of fault...
Priority sensitive event detection in hybrid wireless sensor networks
Realistic pricing modeling for dynamic spectrum access network
Security and privacy in RFID systems
Wireless sensor network protocols applicable to RFID system
A new resource distribution model for improved QoS in an integrated WiMAX/WiFi architecture
CODAR: Congestion and delay aware routing to detect time critical events in WSNs
Cross layer modeling of contention-based MAC and deterministic routing protocols in multi-hop WSNs
Dual-channel based energy efficient event clustering and data gathering in WSNs
Dynamic bandwidth access to cognitive radio ad hoc networks through pricing modeling
Dynamic dwell timer for hybrid vertical handover in 4G coupled networks
Dynamic event coverage in hybrid wireless sensor networks
Dynamic resource allocation for improved QoS in WiMAX/WiFi integration
Wireless access technology has come a long way in its relatively short but remarkable lifetime,...
Dynamic sensor selection for target tracking in wireless sensor networks
Energy-Balanced Transmission Policies for Wireless Sensor Networks
Transmission policy, in addition to topology control, routing, and MAC protocols, can play a...
Envelope-wavelet packet transform for machine condition monitoring
Guest editorial - Journal of Networks Vol 6
[No abstract available]
Hybrid in-network query processing framework for wireless sensor networks
I-MAC: Energy efficient intelligent MAC protocol for wireless sensor networks
Machine fault severity estimation based on adaptive wavelet nodes selection and SVM
Maximizing the concurrent transmissions in cognitive radio ad hoc networks
Multiple-points fault signature's dynamics modeling for bearing defect frequencies
Optimally parameterized wavelet packet transform for incipient machine fault diagnosis
Optimally parameterized wavelet packet transform for machine residual life prediction
QoS support in event detection in WSN through optimal k-coverage
Quality adjustable query processing framework for wireless sensor networks
Resonant frequency band estimation using adaptive wavelet decomposition level selection
Severity Invariant Feature Selection for Machine Health Monitoring
Vibration signals used for abnormality detection in machine health monitoring (MHM) suffer from...
Severity invariant machine fault diagnosis
Spectrum allocation framework for multiuser cognitive radio systems
A contender-aware backoff algorithm for CSMA based MAC protocol for wireless sensor network
Existing contention based nonpersistent medium access control protocols in Wireless Sensor...
Agile spectrum evacuation in cognitive radio networks
One of the most important aspects of cognitive radio technology is to avoid interference on the...
An environment-aware mobility model for wireless ad hoc network
Simulation is a cost effective, fast and flexible alternative to test-beds or practical...
CAM: Congestion avoidance and mitigation in wireless sensor networks
Successful event detection in Wireless Sensor Networks (WSN) requires reliability and timeliness....
Coexistence mechanism for industrial automation network
Increase in the number of coexisting networks in license free Industrial, Scientific and Medical...
Diversified adaptive frequency rolling to mitigate self and static interferences
Increase in the number of coexisting networks in Industrial, Scientific and Medical (ISM) band...
Efficient utilization of WLAN networks in the next-generation heterogeneous environments
Wireless local area networks (WLANs) offer a promising role in the fourth-generation...
Increasing voice capacity over IEEE 802.11 WLAN using virtual access points
Voice capacity over IEEE 802.11 networks can be increased with time synchronized medium access,...
Interference protection in cognitive radio networks
LACAR: Location aided congestion aware routing in wireless sensor networks
Performance analysis of m-retry BEB based DCF under unsaturated traffic condition
The IEEE 802.11 standard offers a cheap and promising solution for small scale wireless networks....
Performance analysis of PCF based WLANs with imperfect channel and failure retries
Wi-Fi enabled hand-held devices quickly occupied the consumer market as a result of the...
QoS-centric collision window shaping for CSMA-CA MAC protocol
Collision Sense Multiple Access (CSMA) has been preferred to Time Division Multiple Access (TDMA)...
Query processing over distributed heterogeneous sensor networks in Future Internet: Scalable architecture and challenges
The wireless networked sensors embedded with everyday objects will become an integral part of...
Voice over multi-channel multi-radio WLANs with power capture and imperfect channel
VoIP offers cheap voice communication which instigated its quick market growth. IEEE 802.11 WLANs...
VoIP service over multihop 802.11 networks with power capture and channel noise
The quick market growth and ubiquitous acceptance of VoIP are primarily due to cheap service....
Combining segmental semi-Markov models with neural networks for protein secondary structure prediction
Cooperative spectrum sensing in realistic RF environment
Hierarchical adaptive location service protocol for mobile ad hoc network
Predicting mobile tourists
Predicting protein protein interfaces as clusters of Optimal Docking Area points
VoIP capacity over PCF with imperfect channel
A framework for collaborative multi class heterogeneous wireless sensor networks
An intelligent model to control preemption rate of instantaneous request calls in networks with book- ahead reservation
Resource sharing between book-ahead (BA) and instantaneous request (IR) reservation often results...
Asynchronous variable hop size transmission with stochastic data model for sensor networks
Energy efficient and hop constraint intra-cluster transmission for heterogeneous sensor networks
Geographic constraint mobility model for ad hoc network
Hidden Markov models Incorporating fuzzy measures and integrals for protein sequence identification and alignment
Rerouting in advance for preempted IR calls in QoS-enabled networks
VoIP call capacity over wireless mesh networks
Weighted soft decision for cooperative sensing in cognitive radio networks
Wireless security and privacy issues
Bayesian segmentation using residue proximity for secondary structure and contact prediction
Secondary structure, residue contacts and contact numbers play an important role in tertiary...
Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait
Accurate identification of cerebral palsy (CP) gait is important for diagnosis as well as for...
An architecture combining Bayesian segmentation and neural network ensembles for protein secondary structure prediction
A combined architecture of Bayesian segmentation along with ensembles of two layered feedforward...
An incremental constructive layer neural network based power system stabiliser
In this paper, a systematic approach for a neural network based Power System Stabiliser (PSS)...
Evaluation of fuzzy measures in profile hidden Markov models for protein sequences
In biological problems such as protein sequence family identification and profile building the...
Fuzzy profile Hidden Markov models for protein sequence analysis
Profile HMMs based on classical hidden Markov models have been widely applied for alignment and...
Gene Selection and Classification of Human Lymphoma from Microarray Data
Forecasting of currency exchange rates using ANN: A case study
SVM based models for predicting foreign currency exchange rates
Reactive load control of parallel transformer operations using neural networks