AI-Driven Gamification and Biotechnical Systems in Cardiovascular Monitoring of Cyclic Sport Athletes by Shukurova Sayyora, Pulatova Mavlyuda, Adilbekov Taxir

“…The paper attempts to move forward research in biotechnical systems and gamification from traditional sports medicine, athlete conditioning, and exercise physiology contexts to emerging AI-enhanced frameworks that address current cardiovascular health challenges.In proposing such a novel approach, the authors reason why AHP-regression-based studies may be particularly suited for the iterative assessment, validation, and optimization of findings in the form of decision-making models such as personalized AI-driven training algorithms. Additionally, the analytical hierarchy process (AHP) framework is used to organize a systematic evaluation of predictive modeling techniques to identify some best practices related to specific biométrie parameters and athlete performance metrics.This methodological application then furthers the examination of the physiological and computational implications related to the use of AI-driven cardiovascular monitoring in terms of accuracy, efficiency, and adaptability. …”
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An instruction dataset for extracting quantum cascade laser properties from scientific textDataverse by Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor

“…One of the main challenges in developing machine learning algorithms for extraction of QCL properties from text is lack of quality training data for these algorithms. …”
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Detection of Hijaiyah Letters Handwritten in Early Childhood Using Yolov8 by Hidayatul Mustagfiroh, Aviv Yuniar Rahman, Rangga Pahlevi Putra

“…The YOLOv8 model was trained using an 80-10-10 split for training, validation, and testing datasets. …”
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Internship management system with passwordless authentication for university stakeholders by St. Joseph M. Lumbog, Maricel M. Gaspar

“…Based on the results, the system was rated outstanding (system evaluation=4.66; acceptance evaluation=4.34), implying that the system met its requirements and that passwordless authentication was proven to increase the security of the developed system. …”
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Accuracy and interpretability of smartwatch electrocardiogram for early detection of atrial fibrillation: A systematic review and meta‐analysis by Dr. Muhammad Iqhrammullah, Prof. Asnawi Abdullah, Dr. Hermansyah, Fahmi Ichwansyah, Prof. Dr. Ir. Hafnidar A. Rani, Meulu Alina, Artha M. T. Simanjuntak, Derren D. C. H. Rampengan, dr. Seba Talat Al‐Gunaid, dr. Naufal Gusti, dr. Arditya Damarkusuma, Edza Aria Wikurendra

“…Results The sensitivity and specificity of smartwatch ECG in algorithmic readings were 86% and 94%, respectively. …”
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Risk Prediction and Response Strategies in Corporate Financial Management Based on Optimized BP Neural Network by Meijia Zhai

“…After training and testing, the BP neural network-based enterprise financial risk evaluation model can accurately determine the existing financial situation of enterprise financial management and has a good prediction effect. …”
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Listener Acoustic Personalization Challenge - LAP24: Head-Related Transfer Function Upsampling by Aidan O. T. Hogg, Roberto Barumerli, Rapolas Daugintis, Katarina C. Poole, Fabian Brinkmann, Lorenzo Picinali, Michele Geronazzo

“…The submissions to Task 2 employed both algorithmic and machine learning-based approaches, which were evaluated on three key spatial audio objective metrics, including the log-spectral distortion (LSD), interaural time difference (ITD), and the interaural level difference (ILD). …”
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Comparing Blind Image Quality Metrics for Reliable Image Assessment by Cristian George Fieraru, Maria Biserica, Ioana Cristina Plajer, Mihai Ivanovici

“…Reliable image quality assessment is essential not only in digital photography but also as a key metric for evaluating the performance of algorithms and models designed for image quality enhancement or generation. …”
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Teaching innovation system applied in business management subjects. by Rafael Rosillo, José Ángel Miguel Dávila, Carlos Fernández Robles, Montserrat Méndez Redondo

“…Inspired by the insights that are used in successful companies, the aim of this project is the use of games as a catalyst for training in different subjects, such as the successful game: Triviados (triviados.org). …”
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Analysis and Application of Chinese Language and Literature Teaching Program Based on Computer Multimedia Technology by Zhaodi Wu

“…While maintaining the interest in Chinese language, the accuracy of spam article recognition algorithm is more than 85%, and the highest result can reach 94.5%.…”
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FPGA-Based Deep Neural Network Implementation for Handwritten Digit Recognition by Matej Štajnbrikner, Igor Valek, Tomislav Matić, Mario Vranješ

“…Training and test images for system evaluation are obtained from the MNIST database. …”
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Capacity Prognostics of Marine Lithium-Ion Batteries Based on ICPO-Bi-LSTM Under Dynamic Operating Conditions by Qijia Song, Xiangguo Yang, Telu Tang, Yifan Liu, Yuelin Chen, Lin Liu

“…Finally, to prevent the interference of test data during model training, which could lead to evaluation errors, the training dataset is used for parameter fitting, the validation dataset for hyperparameter adjustment, and the test dataset for the model performance evaluation. …”
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AI-Based Ransomware Detection: A Comprehensive Review by Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam

“…We then review the existing literature on the core components of AI-based ransomware detection models, including the datasets and challenges arising during data collection, data pre-processing, feature engineering techniques, model training, and performance evaluation for effective model training. …”
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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus by Solim LeGris, Wai Keen Vong, Brenden M. Lake, Todd M. Gureckis

“…The dataset spans the full set of 400 training and 400 evaluation tasks from the original ARC benchmark, and it is the largest human evaluation to date. …”
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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

“…The proposed method consists of three steps: augmenting training image samples to increase the volume of the training data; fine-tuning with limited image samples; and performance evaluation of the algorithm in terms of precision, recall, and F1 measure, on the considered landslide images, by adopting ResNet-50 and 101 as backbone models. …”
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Geometric Distribution Weight Information Modeled Using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method by Wen-Sheng Chen, Chu Zhang, Shengyong Chen

“…Two publicly available face databases, namely, ORL and FERET databases, are selected for evaluation. Compared with some LDA-based algorithms, experimental results exhibit that our GLDA approach gives superior performance.…”
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Land Surface Temperature Super-Resolution With a Scale-Invariance-Free Neural Approach: Application to MODIS by Romuald Ait-Bachir, Carlos Granero-Belinchon, Aurelie Michel, Julien Michel, Xavier Briottet, Lucas Drumetz

“…The second contribution of this work is the release of an evaluation database with ASTER LST images concomitant with MODIS ones that can be used for evaluation of super-resolution algorithms. …”
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Low Anterior Resection Syndrome: Pathophysiology, Risk Factors, and Current Management by Seung Mi Yeo, Gyung Mo Son

“…The most frequently used tool to evaluate the severity of LARS is the LARS score, and an anorectal manometer is used for objective evaluation. …”
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A Literature Review on Arabic Automatic Question Generation by Abdulkhaleq Amin Abdullah, Khaled A. Al-Soufi

“…It examines the pivotal role of datasets, resources, and evaluation methodologies in the training and assessment of AQG systems. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

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