SB‐YOLO‐V8: A Multilayered Deep Learning Approach for Real‐Time Human Detection by Prince Alvin Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Edward Kwadwo Boahen, Prince Boakye‐Sekyerehene, Abdullai Dwumfour

“…ABSTRACT Over the past decade, significant advancements in computer vision have been made, primarily driven by deep learning‐based algorithms for object detection. However, these models often require large amounts of labeled data, leading to performance degradation when applied to tasks with limited data sets, particularly in scenarios involving moving objects. …”
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Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques by Juswin Sajan John, Boppuru Rudra Prathap, Gyanesh Gupta, Jaivanth Melanaturu

“…Building on existing literature, discussions with psychologists and other mental health practitioners, we developed a taxonomy of 27 distinctive markers spread across 4 label categories; aiming to create a preliminary screening tool leveraging textual data.The core objective is to identify the most suitable model for this complex task, encompassing comprehensive evaluation of various machine learning and deep learning algorithms. we experimented with support vector machines (SVM), random forest (RF) and long short-term memory (LSTM) algorithms incorporating various feature combinations involving Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA). …”
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A systematic review on sleep stage classification and sleep disorder detection using artificial intelligence by Tayab Uddin Wara, Ababil Hossain Fahad, Adri Shankar Das, Md Mehedi Hasan Shawon

“…The Neural Network algorithms are the most popular, having 47 % of the total usage. …”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Afterwards, each approach manipulates the solutions obtained by both algorithms in a different way. The objective of this combination is to overcome the GWO stuck-in-local-optima problem that might occur by leveraging the PSO-wide search space exploration ability on the solutions obtained by GWO. …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…From these genes, 45 machine learning models were constructed using different combinations of feature selection methods and classification algorithms. …”
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The Development of a Brief but Comprehensive Therapeutic Assessment Protocol for the Screening and Support of Youth in the Community to Address the Youth Mental Health Crisis by Margaret Danielle Weiss, Eleanor Castine Richards, Danta Bien-Aime, Taylor Witkowski, Peyton Williams, Katie E. Holmes, Dharma E. Cortes, Miriam C. Tepper, Philip S. Wang, Rajendra Aldis, Nicholas Carson, Benjamin Le Cook

“…The Kiddie Computerized Adaptive Test was used to evaluate seven different diagnoses and symptom severity. …”
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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…We derived movement patterns (walking, running, resting, etc.) from raw accelerometry data using a proprietary algorithm. By evaluating the movement patterns during day and nighttime, we calculated 510 activity-related features, including robustness and fragmentation of the circadian rhythm. …”
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Impact of calibration set size for predicting soil fertility attributes using local pXRF spectral libraries by José Vinícius Ribeiro, Tiago Rodrigues Tavares, José Francirlei de Oliveira, Graziela M.C. Barbosa, Fábio Luiz Melquiades

“…Results evaluated on validation sets indicate that calibration sample size can be optimized without compromising model accuracy. …”
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Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

“…Finally, the ablation experiment Transformer model is used to predict the actual deformation data, and the effectiveness of the proposed model is verified by comparing the evaluation indexes of accuracy and trend. According to the performance growth range of different measuring points, the cluster region analysis of the dam parts is carried out. …”
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Ambulatory Oxygen for Pulmonary Fibrosis (OxyPuF): a randomised controlled trial and acceptability study by Rachel L Adams, Alisha Maher, Nicola Gale, Anjali Crawshaw, David Thickett, Alice M Turner

“…The trials unit’s web-based randomisation algorithm minimises on factors potentially influencing response to ambulatory oxygen therapy, such as severity of idiopathic pulmonary fibrosis, desaturation to < 88% present on walking, current or recent (within 6 months) pulmonary rehabilitation, and recruitment centre. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…Feature importance was interpreted using Shapley additive explanations (SHAP) algorithm. Results For task #1, 10 proteins panel showed an AUC of .87 (.77‒.97) in the external validation. …”
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El método de elementos finitos como alternativa en el cálculo de engranajes. // The finite elements method as altenative in gear design. by G. González Rey, P. Frechilla Fernández, R. José García Martín

“…The main reasons for this fact are conditioned, firstly, for the complex design of gears<br />due to the number of variables, limitations and relationships involve, and secondly, the particularity that each case of<br />optimization take in count function objectives, restrictions and independent variables generally different. In the most recent<br />years, new calculation systems for assisting design (CAD) have been used as alternatives for gear calculations, but the<br />diversity of systems and wide possibilities of models mathematical generation for evaluation of stresses and deformations<br />require a report validation comparing with the results, procedures and standards established by the practice and experience<br />of years. …”
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Comparison between Spectral-domain and Swept-source OCT Angiography Scans for the Measurement of Hyperreflective Foci in Age-related Macular Degeneration by Gissel Herrera, MD, Yuxuan Cheng, PhD, Yamini Attiku, MD, Farhan E. Hiya, MD, Mengxi Shen, MD, PhD, Jeremy Liu, MD, Jie Lu, PhD, Alessandro Berni, MD, Omer Trivizki, MD, Jianqing Li, MD, Robert C. O’Brien, PhD, Giovanni Gregori, PhD, Ruikang K. Wang, PhD, Philip J. Rosenfeld, MD, PhD

“…Two independent graders evaluated the en face images and B-scans for the presence of these lesions. …”
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Genomic selection for meat quality traits based on VIS/NIR spectral information by Xi Tang, Lei Xie, Min Yan, Longyun Li, Tianxiong Yao, Siyi Liu, Wenwu Xu, Shijun Xiao, Nengshui Ding, Zhiyan Zhang, Lusheng Huang

“…In the results of the 5-fold cross-validation, the genetic algorithm showed remarkable potential for preselection of feature wavelengths. …”
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Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues by Giuseppe Pasculli, Marco Virgolin, Puja Myles, Anna Vidovszky, Charles Fisher, Elisabetta Biasin, Miranda Mourby, Francesco Pappalardo, Saverio D'Amico, Mario Torchia, Alexander Chebykin, Vincenzo Carbone, Luca Emili, Daniel Roeshammar

“…This paper, stemming from a critical evaluation of different perspectives captured from the scientific literature and recent regulatory endeavors, seeks to elucidate this distinction, exploring their respective utilities, regulatory stances, and upcoming needs, as well as the potential for both data types in advancing medical science and therapeutic development.…”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…The aim of this research is to develop an intelligent system for processing semistructured data from comments on social media videos using structuring algorithms targeting different industries. The research aims to create an efficient method to analyze tone, clustering and extract key themes from comments in order to evaluate the impact of video content on the audience. …”
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Research Progress and Prospect of Green Infrastructure with Public Health Promotion Function by Tongyu LI, Junyi LIXU, Binxia XUE, Yan (USA) SONG

“…To manage the multidimensionality of GI research, cluster analysis is performed using a Word2Vec model combined with a K-means algorithm to integrate different GI forms into a coherent classification system.ResultsThe results show that GI can be clearly divided into different categories, such as urban green spaces and parks, high-interaction spaces, trees in built-up areas, water management and biofiltration systems, community and residential greening, green roofs and facades, linear green networks, and broader macro-GI strategies. …”
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An Interpretable Machine Learning Framework for Unraveling the Dynamics of Surface Soil Moisture Drivers by Zahir Nikraftar, Esmaeel Parizi, Mohsen Saber, Mahboubeh Boueshagh, Mortaza Tavakoli, Abazar Esmaeili Mahmoudabadi, Mohammad Hassan Ekradi, Rendani Mbuvha, Seiyed Mossa Hosseini

“…Understanding the impacts of the spatial non-stationarity of environmental factors on surface soil moisture (SSM) in different seasons is crucial for effective environmental management. …”
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Limited-Preemption EDF Scheduling for Multi-Phase Secure Tasks by Standaert, Benjamin, Raadia, Fatima, Sudvarg, Marion, Baruah, Sanjoy, Chantem, Thidapat, Fisher, Nathan, Gill, Christopher

“…We develop corresponding limited-preemption EDF scheduling algorithms and associated pseudo-polynomial schedulability tests for constrained-deadline MPS tasks. …”
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High-Density EEG Source Localisation of averaged interictal epileptic Discharges validated by surgical Outcome by Bernd J. Vorderwülbecke, Margherita Carboni, Sebastien Tourbier, Laurent Spinelli, Denis Brunet, Martin Seeber, Christian M. Korff, Shahan Momjian, Maria Vargas, Margitta Seeck, Serge Vulliemoz, Jonathan Wirsich

“…Abstract Electroencephalographic source localisation (ESL) of interictal epileptiform discharges is a valuable tool for presurgical evaluation of pharmacoresistant focal epilepsy. Various forward models, inverse solutions algorithms, and software packages have been published. …”
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