Analysing Open-source Images to Assess Face Mask Usage for Epidemiological Studies by Dr Hang Ding, Mrs Ashley Quigley, Professor Raina MacIntyre

“…Open-source images of mass gatherings or other large events on news and social media contain valuable information about face mask usage. This study aims to develop and validate an Artificial Intelligence (AI) solution to automatically analyse open-source crowd photos for estimation of mask use. …”
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Codon usage bias is presumably affected by tRNA selection effects in Actinidia polyploidization events by Yi Zhou, Zhilu Sheng, Dongbin Li, Wencui Li, Yujia Peng, Zhaopeng Song, Zhanjun Quan, Yongbo Liu

“…Abstract Background Polyploidization is one of the main mechanisms in speciation, yet its effects on the frequency and distribution of synonymous codons remain unclear, which may lead to distinct patterns of codon usage bias (CUB) in polyploid species. To detect whether the patterns of CUB change in Actinidia polyploidization events, we analyzed seven Actinidia species (two polyploid and five diploid species) and five phylogenetically related non-Actinidia species (one polyploid and four diploid species). …”
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RiceLeafClassifier‐v1.0: A Quantized Deep Learning Model for Automated Rice Leaf Disease Detection and Edge Deployment by Oluwaseun O. Martins, Christiaan C. Oosthuizen, Dawood A. Desai

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Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives’ Competence in Early Pregnancy Detection Services: Mixed Methods Study by Susanti AI, Nuraini A, Rinawan FR, Adnani QES, Wirakusumah FF

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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

“…This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, software engineering, design verification, cyber threat intelligence, malware detection, and phishing detection. …”
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Rise of the machines: trends and challenges of implementing AI in biomedical scientific writing by Michal Fornalik, Magdalena Makuch, Anna Lemanska, Sandra Moska, Monika Wiczewska, Iwona Anderko, Laura Stochaj, Marta Szczygiel, Aleksandra Zielińska

“…Several medical journals developed policies toward the usage of AI in writing. Even though they refer to the same technology, they differ, leaving a substantially gray area prone to abuse. …”
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The role of AI for MRI-analysis in multiple sclerosis—A brief overview by Jean-Pierre R. Falet, Jean-Pierre R. Falet, Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Berardino Barile, Amar Kumar, Amar Kumar, Joshua Durso-Finley, Joshua Durso-Finley, Tal Arbel, Tal Arbel, Douglas L. Arnold

“…In this short review, we explore the role of AI in MS applications that span the entire life-cycle of an MRI image, from data collection, to lesion segmentation, detection, and volumetry, and finally to downstream clinical and scientific tasks. …”
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AI-driven cybersecurity framework for software development based on the ANN-ISM paradigm by Habib Ullah Khan, Rafiq Ahmad Khan, Hathal S. Alwageed, Alaa Omran Almagrabi, Sarra Ayouni, Mohamed Maddeh

“…By merging AI systems with secure software coding principles, this research enhances the connection between AI-generated insights and real-world cybersecurity usage.…”
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AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

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Ai-driven innovations in greenhouse agriculture: Reanalysis of sustainability and energy efficiency impacts by Siamak Hoseinzadeh, Davide Astiaso Garcia

“…This study reanalyzes publicly available datasets, using advanced time series analysis and noise reduction techniques through seasonality detection and removal. This novel approach reveals trends more clearly, providing a detailed comparison between AI-driven methods and traditional agricultural practices. …”
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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

“…The traditional methods which are used to diagnose a disease are manual and error-prone. Usage of Artificial Intelligence (AI) predictive techniques enables auto diagnosis and reduces detection errors compared to exclusive human expertise. …”
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Advanced AI and big data techniques in E-finance: a comprehensive survey by Rihab Najem, Ayoub Bahnasse, Meryem Fakhouri Amr, Mohamed Talea

“…The research methodology proceeded by choosing and crossing keywords related to technology and fintech, based on a bibliometric analysis of the past and current literature of related fields, the frequency of citation, and usage in emerging AI, Big Data, Text Mining, and Cloud computing trends in finance. …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

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ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering by Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani

“…Traditional churn analysis studies have primarily relied on demographic, product usage, and revenue-based features, overlooking the valuable insights embedded in customer–company interactions. …”
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Enhancing digital resilience through GEN-AI driven video content moderation and copyright protection by Muthumanickam K, Kathirvel T, Harish Vishnu K, Mukesh Rajan N

“…Traditional manual review methods are inefficient, necessitating AI-driven automation. This paper presents an AI-powered system integrating computer vision, deep learning, and NLP for real-time video analysis. …”
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Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines by Hui Wang, Anh Dang, Zihao Wu, Son Mac

“…Results show that the majority of these universities adopt an open but cautious approach towards GenAI. Primary concerns lie in ethical usage, accuracy, and data privacy. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

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“Scarlet Cloak and the Forest Adventure”: a preliminary study of the impact of AI on commonly used writing tools by Barbara Bordalejo, Davide Pafumi, Frank Onuh, A. K. M. Iftekhar Khalid, Morgan Slayde Pearce, Daniel Paul O’Donnell

“…The paper recommends a shift toward teaching responsible AI usage rather than pursuing rigid bans or relying on detection metrics that may not accurately capture misconduct.…”
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A Hybrid and Modular Integration Concept for Anomaly Detection in Industrial Control Systems by Christian Goetz, Bernhard G. Humm

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Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, M. Abdullah-Al-Wadud, Jia Uddin

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