Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

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

Bridging the Gap: Ensemble Learning-Based NLP Framework for AI-Generated Text Identification in Academia

Layth Hazim,Oguz Ata

#Large language models #AI-generated text #human-written text #exploratory data analysis #NLP #ensemble learning

Malware Detection Through Memory Forensics and Windows Event Log Analysis

Dinesh Patil,Akshaya Prabhu

#Malware #windows event logs #code section #main memory analysis #main memory structures #VAD #volatile memory

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+

Enhancing Motor Imagery EEG Classification Accuracy Using Weight Features Function

Abdel Fateh Doudou,Aicha Reffad,Kamel Mebarkia

#brain-computer interface #features extraction #genetic algorithm #motor imagery #SVM classifier

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

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm, Preeti Jha

#Deepvoxels # neural rendering technique # NeRF # MMLA

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

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

A New Data Reduction Technique for Efficient Arabic Data Sentiment Analysis

Remah Younisse,Arafat Awajan,Maram Bani Younes

#Arabic language #sentiment analysis #BERT #data reduction #TF-IDF

Ecological Capacity Assessment of Forest Park Tourists by Integrating Attention Mechanisms and Remote Sensing Images

Qiaofeng Zhou

#Attention mechanisms #remote sensing imagery #tourist #ecological capacity

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis

Saravanan Vijayan,Malarvizhi Subramani

#Unsupervised learning #autoencoders #image fusion #medical images #brain tumours

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

Hybrid CNN Xception and Long Short-Term Memory Model for the Detection of Interpersonal Violence in Videos

David Calderon-Vilca,Kent Cuadros-Ramos,Sergio Valcarcel-Ascencios,Igor Aguilar-Alonso

#Image processing #LSTM #patterns of violence #violence detection #xception

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