Empowering Ovarian Cancer Subtype Classification with Parallel Swin Transformers and WSI Imaging

Lubna ALkahla,Jwan Saeed,Maher Hussein

#Ovarian cancer #Swin-transformer #sub-type classification #histology image analysis

Enhancing Session-Based Recommendations by Fusing Candidate Items

Yingjuan Sun,Wanhua Li,Jingqi Xing,Bangzuo Zhang,Dongbing Pu,Qian Liu,Yinghui Sun

#Recommendation systems #session-based recommendation #graph neural network #attention mechanism

Cyberbullying Detection in Social Networks Using Deep Learning

Hayel Khafajeh

#Cyberbullying detection #deep learning #social networks #convolutional neural networks #long short-term memory #bidirectional encoder representations from transformers

Review of Agile SDLC for Big Data Analytics Systems in the Context of Small Organizations Using Scrum-XP

Gerardo Salazar-Salazar,Manuel Mora,Hector Duran-Limon,Francisco Alvarez-Rodriguez,Angel Munoz-Zavala

#Big data analytics systems #agile system development life cycle #Scrum-XP #CRISP-DM #TDSP and DDSL #small business

Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification

Qi Zhu,Yong Peng

#Discriminative subspace #low-rank regression #kernel space #ridge regression #semi-supervised classification

Horizontal Sequence Pooling Technique in Convolutional Neural Networks to Optimize Feature Extraction for DNA Sequence Classification

Lilibeth Coronel,Arnel Fajardo,Ruji Medina

#Pooling technique #classification #convolutional neural network #feature extraction #genomic sequence

3D VAE Video Prediction Model with Kullback Leibler Loss Enhancement

Zahraa Al Mokhtar,Shefa Dawwd

#3D sampling stage #kullback leibler loss #temporal 3D sampling stage #three dimensional RNN layers #variational autoencoder

Image Object and Scene Recognition Based on Improved Convolutional Neural Network

Guoyan Li,Fei Wang

#Object recognition #deep learning #scene recognition #convolutional neural network #sliding window fusion

HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

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

Unmanned Target Vehicle Navigation and Path Planning Using Improved Ant Colony Optimization Algorithm Combined with GPS/BDS

Rongli Cai

#Ant colony #BDS #GPS #path planning #unmanned target vehicle

A Comprehensive Approach to Combat GPS Spoofing and Ensure Security Positioning in Autonomous Vehicles

Laid Kenioua,Brahim Lejdel,Mohamed Abdelhamid Nedioui

#Autonomous vehicles #positioning security #secure communication #semi-decentralized collaboration architecture #edge computing #data collection #consensus

Machine Learning Driven Threat Identification to Enhance FANET Security using Genetic Algorithm

Shikha Gupta,Neetu Sharma

#FANET #threats #genetic #trust #reputation #network reliability #machine learning

Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models

Potu Bharath,Dasari Venkata Lakshmi

#Sentiment analysis #deep convolutional fuzzy neural network #multilayer stacked bidirectional LSTM neural network inception-ResNet-V2 #enhanced reptile search algorithm #Al-Biruni earth radius optimization algorithm

From Neutrosophic Soft Set to Effective Neutrosophic Soft Set Generalizations and Applications

Sumyyah Al-Hijjawi,Abd Ghafur Ahmad,Shawkat Alkhazaleh

#Soft set #neutrosophic soft set #effective set #effective fuzzy soft set #effective neutrosophic soft set

Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms

Hussam Alawneh,Ahmad Hasasneh

#Bone marrow transplant #hematopoietic stem cell #random forest #bagging #adaboost #gradient boost #decision tree #XGBoost

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria