A Robust Capon Beamforming Algorithm with Desired Signal Steering Vector Correction by Zhiqi Gao, Bowen Wu, Pingping Huang, Wei Xu, Weixian Tan, Zhixia Wu

“…However, when the steering vector of the desired signal is mismatched, the performance of the Capon beamforming algorithm degrades. In addressing this challenge, the present research introduces a refined algorithm. …”
Get full text

Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…The research employs a Long Short-Term Memory (LSTM)-based predictive model, integrating electrochemical impedance spectroscopy (EIS) data and voltage deviation analyses to identify failure patterns. …”
Get full text

Spatial Clusters of Gambling Outlet: A Machine Learning Tree-Based Algorithm by Salvador Martínez-Cava, Fernando A. López, MLuz Maté Sánchez-del-Val

“…The results reveal different spatial patterns regarding the locations of these two types of gambling establishments. …”
Get full text

Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

“…Riau Batik, a treasured cultural heritage, faces challenges in its preservation due to limited public awareness of its unique motifs. This research aims to bridge the knowledge gap by developing a website-based classification system that can identify and recognize Riau batik patterns, offering round-the-clock accessibility to users. …”
Get full text

Motor imagery EEG signal classification using novel deep learning algorithm by Sathish Mathiyazhagan, M. S. Geetha Devasena

“…Abstract Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. …”
Get full text

Intelligent guarantee power supply decision method based on reinforcement learning algorithm by Milu Zhou, Huijie Sun, Tian Yang, Tingting Li, Qi Hou

“…Abstract Traditional power supply decision methods rely on fixed and rigorous mathematical models, which are difficult to accurately capture the characteristics and changing patterns of new loads, resulting in low prediction accuracy. …”
Get full text

XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…These findings suggest that ensemble learning approaches can effectively synthesize diverse patient data into meaningful risk assessments, potentially enhancing screening efficiency through personalized stratification. Future research directions include prospective validation across diverse populations, integration of longitudinal data, and further exploration of explainable AI techniques to bridge the gap between algorithmic predictions and clinical implementation.…”
Get full text

Social Media Users' Expression, Formation Mechanism, and Coping Strategies for Algorithm Aversion by Yan MOU

“…By studying how users perceive, interact with, and respond to algorithmic recommendations and personalizations, researchers can gain insight into the effectiveness and limitations of current algorithmic technologies. …”
Get full text

Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm by Jungyeol Hong, Reuben Tamakloe, Dongjoo Park

“…This study aims to discover hidden patterns and potential relationships in risk factors in freight truck crash data. …”
Get full text

Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

Get full text

Identifying Diagnostic Biomarkers for Electroacupuncture Treatment of Rheumatoid Arthritis Using Bioinformatic Analysis and Machine Learning Algorithms by Sun Y, Dong G, Gao H, Yao Y, Yang H

Get full text

Agricultural drought risk assessments: a comprehensive review of indicators, algorithms, and validation for informed adaptations by Tien Le, Chayn Sun, Suelynn Choy, Yuriy Kuleshov, Trinh Duc Tran

Get full text

Innovative approaches to beam forming antenna array systems with adaptive Partial Update NLMS algorithms by Zahraa A. Shubber, Thamer M. Jamel, Ali.K. Nahar

“…The key innovation and contribution of this research was to use Partial Update (PU) instead of full band adaptive algorithms, as no previous attempt had been made to do so. …”
Get full text

Personalization of Content in Video-on-Demand Services: Insights from Satisfaction over Social Media Algorithms by Alicia Urgellés-Molina, PhD., Mónica Herrero, PhD.

“…This paper explores the intersection of user satisfaction, algorithmic responsiveness, and consumption patterns, emphasizing the influence of AI-driven recommendations. …”
Get full text

A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications by Mikael Ade Krisna Respati, Byung Moo Lee

Get full text

Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Abstract This research examines the application of eight different machine learning (ML) algorithms for predicting the compressive strength of high-performance concrete (HPC). …”
Get full text

A computational framework for defining and validating reproducible phenotyping algorithms of 313 diseases in the UK Biobank by Ana Torralbo, Jonathan M. Davitte, Damien C. Croteau-Chonka, Cai Ytsma, Chris Tomlinson, Natalie K. Fitzpatrick, Sheng-Chia Chung, Ghazaleh Fatemifar, Adrian S. Cortes, Tom G. Richardson, Matthew Barclay, Julia Carrasco-Zanini, Chris Finan, Harry Hemingway, Aroon D. Hingorani, Valerie Kuan, Claudia Langenberg, Georgios Lyratzopoulos, R. Thomas Lumbers, Maik Pietzner, Anoop D. Shah, Johan H. Thygesen, Natalie Zelenka, John C. Whittaker, Margaret G. Ehm, Spiros Denaxas

Get full text

Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

Get full text

Performance Evaluation of Hybrid Bio-Inspired and Deep Learning Algorithms in Gene Selection and Cancer Classification by Shahad S. Alkamli, Hala M. Alshamlan

“…Meanwhile, deep learning models excel in pattern recognition and automated feature extraction, offering a complementary approach to traditional gene selection techniques. …”
Get full text

How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…We show that AI helps reduce research time and improve data management. Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. …”
Get full text