A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

An Improved Q-Learning Algorithm Integrated into the Aloha Anti-Collision Protocol for Energy-Efficient RFID Systems

Van-Hoa Le,Duc-Nhat-Quang Nguyen,Viet-Minh-Nhat Vo

#RFID system #aloha protocol #anti-collision #Q-learning #energy-efficiency

Empowering Intrusion Detection Systems: A Synergistic Hybrid Approach with Optimization and Deep Learning Techniques for Network Security

Ramya Chinnasamy,Malliga Subramanian,Nandita Sengupta

#Artificial neural network #deep learning #honey badger optimization #intrusion detection system

An Enhanced Q-Learning MAC Protocol for Energy Efficiency and Convergence in Underwater Sensor Networks

Islam Ud Din,Irshad Abbasi,Sikandar Ali,Khalil Al Ruqeishi

#Q-Learning #under water sensor networks #MAC protocol #adaptive Q-Learning #energy efficiency

Inventory Optimization Using Data Science Technologies for Supply Chain 4.0

Emna Bouazizi,Ayman Khedr,Sherin Elfaioumy,Mohamed Belal

#Supply chain 4.0 #inventory management #regression algorithm #optimization

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality

SHARD-FEMF: Adaptive Forensic Evidence Management Framework using Blockchain Sharding and IPFS

Praveen Dhulavvagol,Sashikumar Totad,Atrey Anagal

#Blockchain #sharding #ethereum #base64 #IPFS

SHARD-FEMF: Adaptive Forensic Evidence Management Framework using Blockchain Sharding and IPFS

Praveen Dhulavvagol,Sashikumar Totad,Atrey Anagal

#Blockchain #sharding #ethereum #base64 #IPFS

A Comprehensive Microservice Extraction Approach Integrating Business Functions and Database Entities

Deepali Bajaj,Anita Goel,Suresh Gupta

#Microservices #static code analysis #microservice identification #software refactoring #database partitioning #move method refactoring

LWE Based Quantum-Resistant Pseudo-Random Number Generator

Atul Kumar,Arun Mishra

#Learning with errors #homomorphic function #pseudo-random number generator #homomorphic function #linear feedback shift register #NIST statistical test suite

An Experimental Based Study to Evaluate the Efficiency among Stream Processing Tools

Akshay Mudgal,Shaveta Bhatia

#Big data #data streaming #real time stream processing

Digital Forensics Techniques and Trends: A Review

Himanshu Dubey,Shobha Bhatt,Lokesh Negi

#Digital forensics #digital evidence #digital investigation model #digital forensic tool

Tree-based Multicast Routing and Channel Assignment for Enhanced Throughout in Emerging Cognitive Radio Networks

Haythem Bany Salameh,Mustafa Ali

#Cognitive radio #multicast routing #minimum spanning tree #shortest path tree #licensed spectrum

An Adaptive Traffic Lights System using Machine Learning

Mohammad Ashraf Ottom,Ahmad Al-Omari

#Traffic time management #image processing and objects detection #vehicles dataset

Lightweight Anti-Censorship Online Network for

Division of Electronic and Information Engineering, Chonbuk National University, Republic of Korea

#

Exploring the Potential of Schemes in Building NLP

LaTICE Laboratory, Faculty of Sciences of Monastir, Tunisia

#