REVISTA

AI

ISSN: 2673-2688 Frecuencia: 4 Formato: Electrónica

Tablas de contenido

60 artículos asociados

Volumen 5 Número 0 Parte 4 Año 2024

Dynamic Differencing-Based Hybrid Network for Improved 3D Skeleton-Based Motion Prediction	Acceso
Ruiya Ji, Chengjie Lu and Jianqi Zhong

Explainable Machine Learning in Critical Decision Systems: Ensuring Safe Application and Correctness	Acceso
Julius Wiggerthale and Christoph Reich

SevPredict: Exploring the Potential of Large Language Models in Software Maintenance	Acceso
Muhammad Ali Arshad, Adnan Riaz, Rubia Fatima and Affan Yasin

Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing	Acceso
Shizhe Li, Chunzhi Fan, Ali Kargarandehkordi, Yinan Sun, Christopher Slade, Aditi Jaiswal, Roberto M. Benzo, Kristina T. Phillips and Peter Washington

Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach	Acceso
José Machado, Regina Sousa, Hugo Peixoto and António Abelha

Enhancing Traffic Accident Severity Prediction Using ResNet and SHAP for Interpretability	Acceso
Ilyass Benfaress, Afaf Bouhoute and Ahmed Zinedine

Exploring Facilitators and Barriers to Managers? Adoption of AI-Based Systems in Decision Making: A Systematic Review	Acceso
Silvia Marocco, Barbara Barbieri and Alessandra Talamo

SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms	Acceso
Antonio Jesús Banegas-Luna and Horacio Pérez-Sánchez

SC-Phi2: A Fine-Tuned Small Language Model for StarCraft II Build Order Prediction	Acceso
Muhammad Junaid Khan and Gita Sukthankar

Enhancing IoT Security in Vehicles: A Comprehensive Review of AI-Driven Solutions for Cyber-Threat Detection	Acceso
Rafael Abreu, Emanuel Simão, Carlos Serôdio, Frederico Branco and António Valente

Filtering Useful App Reviews Using Naïve Bayes?Which Naïve Bayes?	Acceso
Pouya Ataei, Sri Regula, Daniel Staegemann and Saurabh Malgaonkar

Enhancing Medical Image Classification with Unified Model Agnostic Computation and Explainable AI	Acceso
Elie Neghawi and Yan Liu

Comparison of CNN-Based Architectures for Detection of Different Object Classes	Acceso
Nataliya Bilous, Vladyslav Malko, Marcus Frohme and Alina Nechyporenko

Dynamic Multiobjective Optimization Based on Multi-Environment Knowledge Selection and Transfer	Acceso
Wei Song and Jian Yu

OTM-HC: Enhanced Skeleton-Based Action Representation via One-to-Many Hierarchical Contrastive Learning	Acceso
Muhammad Usman, Wenming Cao, Zhao Huang, Jianqi Zhong and Ruiya Ji

Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course	Acceso
Daniel López-Fernández and Ricardo Vergaz

Evaluating Anomaly Explanations Using Ground Truth	Acceso
Liat Antwarg Friedman, Chen Galed, Lior Rokach and Bracha Shapira

Learning and Evolution: Factors Influencing an Effective Combination	Acceso
Paolo Pagliuca

Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions	Acceso
Khaled Chahine

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting	Acceso
Aleksei Vakhnin, Ivan Ryzhikov, Harri Niska and Mikko Kolehmainen

Advancing Healthcare: Intelligent Speech Technology for Transcription, Disease Diagnosis, and Interactive Control of Medical Equipment in Smart Hospitals	Acceso
Ahmed Elhadad, Safwat Hamad, Noha Elfiky, Fulayjan Alanazi, Ahmed I. Taloba and Rasha M. Abd El-Aziz

Empirical Evaluation and Analysis of YOLO Models in Smart Transportation	Acceso
Lan Anh Nguyen, Manh Dat Tran and Yongseok Son

Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach	Acceso
Mustafa Youldash, Atta Rahman, Manar Alsayed, Abrar Sebiany, Joury Alzayat, Noor Aljishi, Ghaida Alshammari and Mona Alqahtani

ChatGPT: Transforming Healthcare with AI	Acceso
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla and Md Amiruzzaman

Optimization of Deep Neural Networks Using a Micro Genetic Algorithm	Acceso
Ricardo Landa, David Tovias-Alanis and Gregorio Toscano

Digital Technologies Impact on Healthcare Delivery: A Systematic Review of Artificial Intelligence (AI) and Machine-Learning (ML) Adoption, Challenges, and Opportunities	Acceso
Ifeanyi Anthony Okwor, Geeta Hitch, Saira Hakkim, Shabana Akbar, Dave Sookhoo and John Kainesie

From Language Models to Medical Diagnoses: Assessing the Potential of GPT-4 and GPT-3.5-Turbo in Digital Health	Acceso
Jonas Roos, Theresa Isabelle Wilhelm, Ron Martin and Robert Kaczmarczyk

Microstrip Antenna Design Supported by Generative Adversarial Networks	Acceso
Silvania T. Goncalves and Gilliard N. Malheiros-Silveira

SAB: Self-Adaptive Bias	Acceso
Suchan Choi, Jinyoung Oh and Jeong-Won Cha

Trustworthy AI: Securing Sensitive Data in Large Language Models	Acceso
Georgios Feretzakis and Vassilios S. Verykios

Overview and Comparison of Deep Neural Networks for Wildlife Recognition Using Infrared Images	Acceso
Peter Sykora, Patrik Kamencay, Roberta Hlavata and Robert Hudec

Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction	Acceso
Sibtain Syed, Syed Muhammad Talha, Arshad Iqbal, Naveed Ahmad and Mohammed Ali Alshara

Advancing Persistent Character Generation: Comparative Analysis of Fine-Tuning Techniques for Diffusion Models	Acceso
Luca Martini, Saverio Iacono, Daniele Zolezzi and Gianni Viardo Vercelli

Fault Classification of 3D-Printing Operations Using Different Types of Machine and Deep Learning Techniques	Acceso
Satish Kumar, Sameer Sayyad and Arunkumar Bongale

Software Defect Prediction Based on Machine Learning and Deep Learning Techniques: An Empirical Approach	Acceso
Waleed Albattah and Musaad Alzahrani

Detecting Online Sexism: Integrating Sentiment Analysis with Contextual Language Models	Acceso
Faiza Belbachir, Thomas Roustan and Assia Soukane

Accuracy Improvement of Energy Expenditure Estimation Through Neural Networks: A Pilot Study	Acceso
Tomá? Veselý, Pavel Smrcka, Radim Kliment, Martin Vítezník, Zdenek Hon and Karel Hána

GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration	Acceso
Ting Liu and Yuan Liu

AgriNAS: Neural Architecture Search with Adaptive Convolution and Spatial?Time Augmentation Method for Soybean Diseases	Acceso
Oluwatoyin Joy Omole, Renata Lopes Rosa, Muhammad Saadi and Demóstenes Zegarra Rodriguez

Machine Learning-Based Network Anomaly Detection: Design, Implementation, and Evaluation	Acceso
Pilar Schummer, Alberto del Rio, Javier Serrano, David Jimenez, Guillermo Sánchez and Álvaro Llorente

Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges	Acceso
Miriam Dellino, Marco Cerbone, Antonio d?Amati, Mario Bochicchio, Antonio Simone Laganà, Andrea Etrusco, Antonio Malvasi, Amerigo Vitagliano, Vincenzo Pinto, Ettore Cicinelli, Gerardo Cazzato and Eliano Cascardi

Adaptive Exploration Artificial Bee Colony for Mathematical Optimization	Acceso
Shaymaa Alsamia, Edina Koch, Hazim Albedran and Richard Ray

Predicting the Multiphotonic Absorption in Graphene by Machine Learning	Acceso
José Zahid García-Córdova, Jose Alberto Arano-Martinez, Cecilia Mercado-Zúñiga, Claudia Lizbeth Martínez-González and Carlos Torres-Torres

Optimizing Steering Angle Prediction in Self-Driving Vehicles Using Evolutionary Convolutional Neural Networks	Acceso
Bashar Khawaldeh, Antonio M. Mora and Hossam Faris

TRust Your GENerator (TRYGEN): Enhancing Out-of-Model Scope Detection	Acceso
Václav Divi?, Bastian Spatz and Marek Hrúz

Hybrid Artificial Intelligence Strategies for Drone Navigation	Acceso
Rubén San-Segundo, Lucía Angulo, Manuel Gil-Martín, David Carramiñana and Ana M. Bernardos

Airfoil Shape Generation and Feature Extraction Using the Conditional VAE-WGAN-gp	Acceso
Kazuo Yonekura, Yuki Tomori and Katsuyuki Suzuki

Deep Learning in Finance: A Survey of Applications and Techniques	Acceso
Ebikella Mienye, Nobert Jere, George Obaido, Ibomoiye Domor Mienye and Kehinde Aruleba

Leveraging Explainable Artificial Intelligence (XAI) for Expert Interpretability in Predicting Rapid Kidney Enlargement Risks in Autosomal Dominant Polycystic Kidney Disease (ADPKD)	Acceso
Latifa Dwiyanti, Hidetaka Nambo and Nur Hamid

Intelligent Manufacturing in Wine Barrel Production: Deep Learning-Based Wood Stave Classification	Acceso
Frank A. Ricardo, Martxel Eizaguirre, Desmond K. Moru and Diego Borro

Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive Framework	Acceso
Toqeer Ali Syed, Muhammad Yasar Khan, Salman Jan, Sami Albouq, Saad Said Alqahtany and Muhammad Tayyab Naqash

Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting	Acceso
Andrey K. Gorshenin and Anton L. Vilyaev

Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis	Acceso
Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz and Nuran Abdullayev

Causal Economic Machine Learning (CEML): ?Human AI?	Acceso
Andrew Horton

From Play to Understanding: Large Language Models in Logic and Spatial Reasoning Coloring Activities for Children	Acceso
Sebastián Tapia-Mandiola and Roberto Araya

Collaborative Robots with Cognitive Capabilities for Industry 4.0 and Beyond	Acceso
Giulio Sandini, Alessandra Sciutti and Pietro Morasso

A Bag-of-Words Approach for Information Extraction from Electricity Invoices	Acceso
Javier Sánchez and Giovanny A. Cuervo-Londoño

Automated Audible Truck-Mounted Attenuator Alerts: Vision System Development and Evaluation	Acceso
Neema Jakisa Owor, Yaw Adu-Gyamfi, Linlin Zhang and Carlos Sun

Aircraft Skin Damage Visual Testing System Using Lightweight Devices with YOLO: An Automated Real-Time Material Evaluation System	Acceso
Kuo-Chien Liao, Jirayu Lau and Muhamad Hidayat

Hypervolume-Based Multi-Objective Optimization Method Applying Deep Reinforcement Learning to the Optimization of Turbine Blade Shape	Acceso
Kazuo Yonekura, Ryusei Yamada, Shun Ogawa and Katsuyuki Suzuki