Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. …”
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Evaluation of Personal Radiation Exposure From Wireless Signals in Indoor and Outdoor Environments by Pan Ruijie, Aduwati Sali, Lu Li, Muhammad Zamir Mohyedin, Sangin Qahtan

“…By comparison, it is found that LR performs well with single and simple data set, while XG Boost and FCNN demonstrate superior capabilities in handling multiple types of data sets. …”
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Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review by Geofrey Owino, Bernard Shibwabo

“…Deployment methods included mobile apps and web-based platforms for real-time analysis, with 90% (n=113) of the remaining models remaining undeployed to real-world applications. Denoising techniques and federated learning were limitedly used to enhance model robustness and ensure data confidentiality from 5% (n=6) of the studies. …”
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Dietary phytochemical index and the risk of gallstone disease: a case-control study by Mohammad Abdulmohsin Jebur, Ghufran Lutfi Ismaeel, Haitham Mukhklif Salim, Ammar Hussein Ahmed, Israa Habeeb Naser

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Access to and use of sexual and reproductive health services by adolescent girls in humanitarian crisis situation: The case of IDP sites in the City of Goma, Democratic Republic of... by CRISPIN DIEUDONNE FARADJA, Justin Abwe, Gilbert OSTHUDIEMA WEMBODINGA, Françoise KAJ MALONGA, Monizi Mawunu, Jean-Paul Koto-Te-Nyiwa Ngbolua

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Survival analysis using machine learning in transplantation: a practical introduction by Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque

“…Methods We employed a RSF model to analyze a simulated dataset of kidney transplant recipients. The data were split into training, validation, and test sets using split sample (70%-30%) and cross-validation (5-folds) techniques to evaluate model performance. …”
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Renal artery aneurysms by A. E. Zotikov, Z. A. Adyrkhaev, A. M. Solovyova

“…The authors present the literature and their own data on various techniques to restore the renal blood flow. …”
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Exploring Factors Affecting Physical Health Perception Through Sports Participation: A PLS-SEM Approach by Endang Sepdanius, M. Adli Bin Mohd Sidi, Endarman Saputra, Andri Gemaini, Rini Afriani, Novadri Ayubi

“…They are from 18 regions in West Sumatra. Data collection techniques in this study used survey techniques through google forms and circulated via WhatsApp social media. …”
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Irrigation monitoring from satellite at hyper-high resolution: Paving the way for remote-sensing-based agricultural water management support services by Jacopo Dari, Stefano Lo Presti, Luca Brocca

“…This work aims at filling this gap by applying well-established irrigation mapping and quantification techniques with multiresolution satellite data as input to reproduce irrigation dynamics at the unprecedented spatial sampling of 10 m. …”
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An illustration of multi-class roc analysis for predicting internet addiction among university students. by Nishat Tasnim Thity, Atikur Rahman, Adisha Dulmini, Mst Nilufar Yasmin, Rumana Rois

“…We used cross-sectional survey data from 424 university students from different universities in Bangladesh. …”
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Inputs-Oriented VRS DEA in dairy farms [version 3; peer review: 2 approved, 1 approved with reservations, 1 not approved] by C. A. Zuniga-Gonzalez, J. L. Jaramillo-Villanueva, N.E Blanco-Roa

“…Conclusions The utilization of Bootstrap methodology enhances the reliability of efficiency assessments by providing robust statistical techniques that accommodate non-normal data distributions. …”
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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things by Mai Alduailij

“…In this manuscript, the Ensemble of Deep Learning and Metaheuristic Optimisation algorithms for the Critical Health Monitoring (EDLMOA-CHM) technique is proposed. The EDLMOA-CHM technique aims to develop and evaluate effective methods for monitoring health conditions in the IoMT to enhance healthcare system security and patient safety. …”
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Developing The E-Module of The Cidayu (Chinese, Dayak, and Malay) Community’s Local Wisdom Using Fliphtml5 Software by Dina Anika Marhayani, Dodik Kariadi, Rini Setyowati, Mertika Mertika, Evinna Cinda H, Wasis Suprapto, Fajar Wulandari

“…The research instruments were questionnaire sheets, media and material expert validation sheets, and learning outcome questions. The data analysis techniques used in this study were qualitative and quantitative data analysis techniques. …”
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Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities by Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Battah, Bilel Cherif, Abdechakour Mechri, Norbert Tihanyi, Tamas Bisztray, Merouane Debbah

“…Our analysis extends to LLM vulnerabilities, such as prompt injection, insecure output handling, data poisoning, DDoS attacks, and adversarial instructions. …”
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Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial by Carmen Peuters, Ann DeSmet, Laura Maenhout, Greet Cardon, Dries Debeer, Geert Crombez

“…The intervention used, #LIFEGOALS, includes self-regulation techniques, a support chatbot, narrative videos, and gamification, brought together in an app coupled to an activity tracker. …”
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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…Developing efficient diagnostic tools is critical, and machine learning (ML) algorithms have shown potential for improving the accuracy of cognitive impairment classification. This study aims to address challenges in current systems by leveraging readily available electronic medical record (EMR) data to simplify and enhance the classification of cognitive impairment. …”
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<i>Inquilinus</i> Species Infections in Humans—A Narrative Review by Anastasia Vasilopoulou, Takis Panayiotou, Stella Baliou, Andreas G. Tsantes, Petros Ioannou

“…Objective: This review aims to present all reported cases of <i>Inquilinus</i> spp. infections in humans, with an emphasis on data regarding epidemiology, antimicrobial resistance, antimicrobial treatment, and mortality. …”
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Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts by Siamak Hoseinzadeh, Davide Astiaso Garcia

“…This challenge offers crucial data for a thorough assessment of AI’s practical impact. …”
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A WebGIS-Based Information System for Monitoring and Warning of Geological Disasters for Lanzhou City, China by Fang Miao, Qi Yuan

“…The information system adopts a Browser/Server (B/S) structure and has three-tier architecture, combining in-situ monitoring instruments, the wireless sensor network, WebGIS techniques and the grey system theory. The framework of the ISGDMW can be divided into three categories: (1) in-situ monitoring system, it aims to monitor geological disaster sites and get state information of geological disaster sites; (2) database, manage in-situ monitoring data, antecedent field investigating data and basic data; (3) analyzing and warning system, analyze in-situ monitoring data, understand the deformation trend of the potential geological disaster, and release disaster warning information to the public. …”
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Accidents in railway transportation: Lessons learned from Thailand and France by Sripathomswat Kanokporn, Promkamol Lattapon, Romruen Worachon, Arthaud Quentin, Drouin Alban

“…This research focuses on applying hazard management techniques, particularly in establishing accident frequency and severity indices to evaluate accident data at railway crossings in Thailand. …”
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