The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

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Opportunities and Limitations of Wrist-Worn Devices for Dyskinesia Detection in Parkinson’s Disease by Alexander Johannes Wiederhold, Qi Rui Zhu, Sören Spiegel, Adrin Dadkhah, Monika Pötter-Nerger, Claudia Langebrake, Frank Ückert, Christopher Gundler

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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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Optimal fault detection from seismic data using intelligent techniques: A comprehensive review of methods by Bhaktishree Nayak, Pallavi Nayak

“…Additionally, this review highlights emerging trends, including hybrid model applications and the integration of real-time data processing for seismic fault detection. By providing a detailed comparative analysis of current methodologies, this review aims to guide future research and foster advancements in the effectiveness and reliability of seismic studies. …”
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A Semi-Supervised Object Detector Based on Adaptive Weighted Active Learning and Orthogonal Data Augmentation by Meng Wang, Xiao Xu, Haipeng Liu

“…To efficiently utilize limited resources, this paper proposes a semi-supervised object detection (SSOD) approach based on novel adaptive weighted active learning (AWAL) and orthogonal data augmentation (ODA). …”
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Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data by Benjamin Bar-Gera, Pia Anderwald, Alina L. Evans, Thomas Rempfler, Claudio Signer

“…To fill this gap, we trained classification models, using a supervised learning approach with data collected from wild red deer (Cervus elaphus) in the Swiss National Park. …”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

“…We proposed a thorough feature selection analysis to find the best combination of RS and climate data to detect phenological stages. …”
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Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses by Miruna-Ioana Belciu, Alin Velea

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AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis by XiWen Xu

“…The research also identifies challenges and limitations, including data privacy issues, algorithmic bias, and the need for human-AI interaction. …”
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A Comparative Analysis of Machine Learning Models for Predicting EFL Student Language Performance in Smart Learning Environments by Banchakarn Sameephet, Wirapong Chansanam, Mahboubeh Rakhshandehroo, Chawin Srisawat, Kittichai Nilubol, Arnon Jannok, Bhirawit Satthamnuwong, Kornwipa Poonpon

“…Integrating smart learning environments into modern education systems opens up significant opportunities to use data analysis techniques to predict students’ English language performance. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…Because of the privacy concerns about the transaction data, it is essential not to leak it when training prediction models for credit card fraud analysis. …”
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Convolutional Neural Networks in the SSI Analysis for Mine-Induced Vibrations by Maciej Cyprian Zajac, Krystyna Kuzniar

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Beat the Offers—A Machine-Learning Approach for Predicting Contestants’ Choices and Games’ Outcomes on a TV Quiz Show by Hana Ivandic, Branimir Pervan, Josip Knezovic, Alan Jovic

“…In this paper, we first present the dataset obtained by extracting data from the publicly broadcast episodes of Beat the Chasers in Croatia. …”
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A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response by Javier Sáez-García, María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez

“…A Notebook in Jupyter is proposed with the steps for importing and processing data, as well as for using supervised and unsupervised machine learning algorithms.…”
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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

“…In the realm of traffic safety analysis, the inherent imbalance in crash datasets, particularly in terms of injury severity, poses a significant challenge for machine learning-based classification models. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

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Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei

“…In today’s data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. …”
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DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models by Amer Abualhassan, Irfan Rashid, Farid Binbeshr, Muhammad Imam

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Comparative Analysis of Machine Learning and Deep Learning Models for Lung Cancer Prediction Based on Symptomatic and Lifestyle Features by Bireswar Dutta

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