Toward

Image Captioning,Najiba Tagougui,Monji Kherallah

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

Low Carbon Scheduling in Manufacturing Workshops Taking into Account the Improvement of NSGA-II

Yanjun Zhou,Fei Wang

#Workshop low-carbon scheduling #NSGA-II #manufacturing industry #multi-objective optimization #elite retention strategy

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

Hybrid Transformer Framework for Domain Generated Algorithms Detection: A Fusion of Textual and Numeric Features

Suhad Malayshi,Ahmad Hasasneh*

#Domain generated algorithms #cybersecurity #hybrid deep learning #text transformers #multimodality #feature importance

Swin Transformer-Enhanced UAV Surveillance: A Multi-Modal Feature Optimization for High-Precision Road Vehicles Detection

Nouf Abdullah Almujally,Ghulam Mujtaba,Shuaa S. Alharbi,Noif Alshammari,Ahmad Jalal

#Pattern recognition #traffic management #YOLOv10 #autonomous vehicles #intelligent traffic systems #track former #deeplabv3+

Strategic Optimization of Convergence and Energy in Federated Learning Systems

Ghassan Samara,Raed Alazaidah,Ibrahim Obeidat,Mohammad Aljaidi,Mahmoud Odeh,Alaa Elhilo,Sattam Almatarneh,Mo’ath Alluwaici,Essam Aldaoud

#Federated learning #convergence speed #energy efficiency #early stopping #CO₂ emissions #hill-climbing

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

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

Strategic Optimization of Convergence and Energy in Federated Learning Systems

Ghassan Samara,Raed Alazaidah,Ibrahim Obeidat,Mohammad Aljaidi,Mahmoud Odeh,Alaa Elhilo,Sattam Almatarneh,Mo’ath Alluwaici,Essam Aldaoud

#Federated learning #convergence speed #energy efficiency #early stopping #CO₂ emissions #hill-climbing

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

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

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

Precision Pursuit: A Spectral Decomposition-Driven Adaptive Block Measurement Matrix for Enhanced Compressive Sensing in Imaging

Aarthi Elaveini,Deepa Thangavel

#Hybrid sensing matrix #sparsity #recovery algorithm #OMP #CoSaMP