Doctors undergoing inguinal hernia repair with the three-layer Shouldice technique: The PRO*Shouldice retrospective cohort study by Renato Miranda de Melo, Pedro Ducatti de Oliveira e Silva, Rodolfo Demitre Clemente Henriques da Silva, João Elias de Godoi, Valério Ribeiro de Oliveira

“…Some studies have been applying algorithms based on Patient-Reported Outcomes (PRO) to facilitate the detection of recurrence. …”
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Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach by Mohammad Heydari, Babak Teimourpour

“…By employing this method, it is possible to use other graph-based algorithms, such as community detections. The results help us to identify the key role of different news agencies in information diffusion among the public, identify hidden communities, and discover latent patterns among a massive amount of data.…”
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Human-in-the-loop control strategy for IoT-based smart thermostats with Deep Reinforcement Learning by Payam Fatehi Karjou, Fabian Stupperich, Phillip Stoffel, Drk Müller

“…They use sensors and algorithms to learn user behavior and optimize heating schedules accordingly. …”
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Development of Cyber Security Platform for Experiential Learning by Abhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad

“…The present research proposes a comprehensive web-based platform that can be used to communicate, collaborate and practice various use cases in the domain of network intrusion detection tools using machine learning algorithms and to evaluate user experience. …”
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Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…In this approach, adversaries embed malicious updates within aggregated ones without detection, posing a significant threat to FL applications. …”
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Network-based diversification of stock and cryptocurrency portfolios by Dimitar Kitanovski, Igor Mishkovski, Viktor Stojkoski, Miroslav Mirchev

“…The Louvain and Affinity propagation algorithms were employed for finding the network communities (clusters) based on annual data. …”
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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

“…In recent times, the field met with new set of challenges where new algorithms have to contend with highly unstructured sources for sentiment expressions emanating from online social media fora. …”
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Efficient Real-Time Pathfinding for Visually Impaired Individuals by Tadeh Ghahremanians, Hossein Mahvash Mohammadi

“…Traditional methods usually focus on the detection of specific patterns or objects, requiring custom algorithms for each object of interest. …”
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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…Advanced applications spanning emotion recognition, disease detection, and behavioral phenotyping demonstrate unprecedented potential for real-time welfare assessment. …”
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Longitudinal analysis of behavioral factors and techniques used to identify vaccine hesitancy among Twitter users: Scoping review by Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah

“…SVM, LDA, BERT are the techniques used for topic modeling, while Louvain, NodeXL, and Infomap algorithms are used for community detection. This research is notable for being the first systematic review that emphasizes the dearth of longitudinal studies and the methodological and underlying practical constraints underpinning the lucrative implementation of an explainable and longitudinal behavior analysis system. …”
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Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

“…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

“…The goal of this study is to develop a model for the recognition and classification of fertilizer treatment for maize based on maize leaf images, using deep learning algorithms to facilitate and improve the recognition and early control of fertilizer treatment for maize. …”
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Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Targeted sequencing has a higher detection power (the ability to identify new differences/variants) and resolution (up to one basis). …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…Compared with the other two comparison algorithms, the detection time required by the proposed model was the shortest at 115us and consumed the least amount of resources. …”
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Modern scientific and clinical developments in the treatment of malignant neoplasms of the upper gastrointestinal tract: results of ASCO-2022 by D. A. Andreev, A. A. Zavyalov

“…The development, standardization and algorithmization of medical methodologies for drug treatment of cancer aimed at improving the quality of oncological care is underway. …”
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Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions by Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh

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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

“…As artificial intelligence algorithms continue to advance, researchers have increasingly harnessed their capabilities to generate music that resonates with human emotions, offering a novel means of alleviating the escalating pressures of contemporary life. …”
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A Comprehensive Review of Blockchain and Machine Learning Integration for Peer-to-Peer Energy Trading in Smart Grids by Sameen Fatima, Muhammad Junaid Arshad

“…A new architecture is proposed, integrating blockchain with ML algorithms to create resilient, secure, and efficient energy trading markets. …”
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AI-Driven Accounting and Sensing Applications for Investment Management by Foziljonov Ibrohimjon, Yuldashev Jahongir, Turgunov Jasurbek, Khujamurodov Askarjon, Rozhkova Elena

“…Al-driven accounting and sensing applications have enabled the formulation of multiple investment decision-support models with considerable predictive accuracy, real-time responsiveness, and cost-efficiency benefits. Advancements in algorithmic sensing on financial datasets are challenging traditional conceptions of risk assessment and portfolio diversification, and in the process, opening up windows of opportunity for redefining the analytical frameworks associated with investment management practices. …”
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Structural Magnetic Resonance Imaging Brain Age Investigation in Athletes with Persistent Postconcussion Syndrome by Samuel Guay, Camille Charlebois-Plante, Sophie-Andrée Vinet, Marie-Eve Bourassa, Louis De Beaumont

“…Brain age prediction algorithms using structural magnetic resonance imaging (MRI) estimate the biological age of the brain by comparing it to a normal aging trajectory, allowing for the identification of deviations that may indicate slower or accelerated biological aging. …”
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