Toward

Image Captioning,Najiba Tagougui,Monji Kherallah

#Image captioning #vision-language models #multimodal learning #large language models

An Analytical Model of Many-Core System Using N-Conjugate Shuffle Cluster (NCSC)

Mahmoud Obaid,Allam Abumwais,Suhail Odeh,Mahmoud Aldababsa,Rami Hodrob

#Many-core #interconnection network #n-conjugate shuffle #content addressable memory #scalability #reliability

Enhancing Software Development Efficiency Through User Stories Reuse from Application Descriptions

Indra Kharisma Raharjana,Avril Hermawan,Badrus Zaman,Shukor Sanim Mohd Fauzi

#Application description #requirements reuse #requirements elicitation #process innovation #user story

Toward Human-Level Understanding: A Systematic Review of Vision-Language Models for Image Captioning

Ansar Hani,Najiba Tagougui,Monji Kherallah

#Image captioning #vision-language models #multimodal learning #large language models

An Efficient Hybrid Method for Coordinated Attacks Detection in NAN of Smart Grid

Vijayanand Radhakrishnan,Ulaganathan Meenakshisundaram,Ganeshkumar Pugalendhi,John Basha

#Packet based attack detection #Bi-LSTM #multi-head attention #NAN communication security #NS3 simulation

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

A Novel Risk-Based Testing Framework for Distributed Agile Software Development

Esha Khanna,Rashmi Popli,Naresh Chauhan

#Test case prioritization #risk-based testing #distributed agile software development

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

Enhancing IoV Integration: The Critical Role of Secure Data Transmission in IoT and Electric Vehicle Ecosystems

Faisal Faisal,Moamin Mahmoud,Abba Hassan,Salama Mostafa,Saraswathy Gunasekaran

#Internet of things #electric vehicles #internet of vehicles #security #data protection #blockchain #smart grid

Using Fuzzy Clustering Models to Predict User Demand in Precision Marketing of Cross-Border E-Commerce

Jianzhong Li,Fengwei Zhang,Nana Liu

#Cross border #e-commerce #fuzzy c-means #stagnancy degree

Transformer-Based Text Summarization: A Deep Learning Approach with Hybrid Optimization

Dabiah Alboaneen

#Deep learning #text summarization #transformer #optimization #extractive and abstractive

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks