A Crime Data Analysis of Prediction Based on Classification Approaches by Fatima Shaker Hussain, Abbas Fadhil Aljuboori

Get full text

Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction by Yang Yue, Shu Li, Yihua Cheng, Lie Wang, Tingjun Hou, Zexuan Zhu, Shan He

Get full text

Thai Morning Glory Price Forecasting Using Deep Learning by Kanokwan Waeodi, Laor Boongasame, Karanrat Thammarak

Get full text

Application of Multi-Objective Optimization for Path Planning and Scheduling: The Edible Oil Transportation System Framework by Chin S. Chen, Chia J. Lin, Yu J. Lin, Feng C. Lin

Get full text

Time-Series Forecasting for Peak Hour Traffic Accidents by Md. Ferdousul Haque Shikder, Yili Tang, Majid Emami Javanmard

Get full text

Predicting Stroke Type (Infarction vs. Hemorrhagic) using Brain.js Deep Learning by Marhaendraputro Eko Arisetijono, Ernanda Shelby Amrus, Karlina Intan Dwi, Nindyasti Raehani Ajeng Prabaswaratna, Syahriar Rivan Tegar

Get full text

Adjusted imbalance ratio leads to effective AI-based drug discovery against infectious disease by Ons Masmoudi, Afef Abdelkrim, Emna Harigua-Souiai

Get full text

Design of an efficient dynamic context‐based privacy policy deployment model via dual bioinspired Q learning optimisations by Namrata Jiten Patel, Ashish Jadhav

Get full text

Automatic Classification of White Blood Cells Using a Semi-Supervised Convolutional Neural Network by Huihui Song, Zheng Wang

Get full text

Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

Get full text

Exploring Attributions in Convolutional Neural Networks for Cow Identification by Dimitar Tanchev, Alexander Marazov, Gergana Balieva, Ivanka Lazarova, Ralitsa Rankova

Get full text

Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion by Naoki Yamane, Kan Hatakeyama-Sato, Yuma Iwasaki, Yasuhiko Igarashi

Get full text

Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s by Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir

Get full text

Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks by Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur

Get full text

Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

Get full text

Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…Abstract Recently, social demands for a good quality of life have increased among the elderly and disabled people. So, biomedical engineers and robotic researchers aimed to fuse these techniques in a novel rehabilitation system. …”
Get full text

Sonic Affinity and Aesthetic Metamorphosis: The Nineteenth Century as a Turning Point in the History of Musical Thought by Javier Campos Calvo-Sotelo

“…Applied to the field of historical musicology, this allows the interpretation of the nineteenth century as a key stage of musical mutations following the Industrial Revolution, which shattered the stillness of the ancien régime with the commotion of steam engines, mechanical spinners, and the railroad. Technological innovations had a decisive impact on the creation, performance, and perception of music. …”
Get full text

Genderly: a data-centric gender bias detection system by Wael Khreich, Jad Doughman

“…Our experiments used diverse preprocessing, feature engineering, and hyperparameter optimization methods for traditional ML models and large language models (LLMs) as gender bias detectors, comparing these results to evaluate model performance. …”
Get full text

Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification by S. Radhika, G. Sharada

“…In recent times, computer-aided diagnostic (CAD) act as a major automating diagnosing tool by building the self-tailored learning algorithms founded on Classical Machine and Deep Learning model. However, training classical learning frameworks consumes a huge computational resources which leads to complexity and low diagnostic performance. …”
Get full text

Dempster-Shafer ensemble learning framework for air pollution nowcasting by Le Trung H., Nguyen Huynh A.D., Ha Quang P., Tran Minh Q., Ahmed Masrur, Kong Jing, Barthelemy Xavier, Duc Hiep, Jiang Ningbo, Azzi Merched, Riley Matthew

Get full text