Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction by D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite

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AI enhanced metasurface sensor design for ultra-sensitive terahertz gas detection using 2D materials by Jacob Wekalao, Hussein A. Elsayed, Nassir Saad Alarifi, Mostafa R. Abukhadra, Stefano Bellucci, Ahmed Mehaney

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On nonlinear coupled differential equations for corrugated backward facing step (CBFS) with circular obstacle: AI-neural networking by Khalil Ur Rehman, Wasfi Shatanawi, Weam G. Alharbi

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Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances by Astrid Carolus, Martin J. Koch, Shuyan Feng

“…They mostly neglect psychological research on determinants of creative performance such as instructions or processing time. The present study contributes to the theoretical foundation and replicates a study comparing humans’ and AI’s creative output in the Alternate Uses Task. …”
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SDI-Enabled Smart Governance: A Review (2015–2025) of IoT, AI and Geospatial Technologies—Applications and Challenges by Sofianos Sofianopoulos, Antigoni Faka, Christos Chalkias

“…This paper presents a systematic, narrative review of 62 academic publications (2015–2025) that explore the integration of spatial data infrastructures (SDIs) with emerging smart city technologies to improve local governance. …”
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Artificial Sensing: AI-Driven Electronic Nose for Real-Time Gas Leak Detection and Food Spoilage Monitoring by Lubna Aziz, Hassan Adil, Raheel Sarwar

“… Olfactory dysfunction poses a significant threat to health and safety by hindering the detection of hazards like gas leaks and spoiled food, highlighting the limitations of subjective and non-real-time traditional methods. This study presents Scent Sense, an AI-driven Electronic nose (E-nose) system designed for real-time odor classification and food quality assessment. …”
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Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review by Teona Gelashvili-Luik, Peeter Vihma, Ingrid Pappel

“…While this shift promises improved efficiency and personalization, it also poses challenges related to data quality, employee resistance, and alignment with existing workflows.MethodsThis study presents a systematic literature review (SLR) of 40 peer-reviewed publications focused on the integration of AI in KM. …”
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Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…This study presents an advanced NO_x reduction strategy for a 330 MW lignite-fired boiler using an immunological AI system: the SILO (Stochastic Immune Layer Optimizer) combustion optimizer inspired by artificial immune systems. …”
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AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data by Mohd Zubair Akhtar, Maximilian Schmid, Gordon Elger

“…To address these limitations, this study presents an Artificial Intelligence (AI) framework designed for automated 3D FEA post-processing of surface-mounted devices (SMDs) assembled to Printed Circuit Board (PCB). …”
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction by Hagar G. Abu-Faty, Ahmed Kafafy, Mohiy M. Hadhoud, Osama Abdel-Raouf

“…ChatGPT-4 is used as the generative AI model to simulate expert profiles from diverse fields related to churn prediction. …”
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Assessing the effectiveness of RS, GIS, and AI data integration in analysing agriculture performance to enable sustainable land management by Marzhan Sadenova, Nail Beisekenov, Petar Sabev Varbanov

“…This research significantly enhances the integration efficiency of RS (remote sensing), GIS (geographical information systems), and AI (artificial intelligence) data in agriculture, contributing to sustainable land management.…”
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New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance by Ionut Anghel, Tudor Cioara, Roberta Bevilacqua, Federico Barbarossa, Terje Grimstad, Riitta Hellman, Arnor Solberg, Lars Thomas Boye, Ovidiu Anchidin, Ancuta Nemes, Camilla Gabrielsen

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Drone-Enabled AI Edge Computing and 5G Communication Network for Real-Time Coastal Litter Detection by Sarun Duangsuwan, Phoowadon Prapruetdee

“…To address this issue, we deploy drones equipped with high-resolution cameras and sensors to capture detailed coastal imagery for assessing litter distribution. This study presents the development of an AI-driven coastal litter detection system using edge computing and 5G communication networks. …”
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Participatory Co-Design and Evaluation of a Novel Approach to Generative AI-Integrated Coursework Assessment in Higher Education by Alex F. Martin, Svitlana Tubaltseva, Anja Harrison, G. James Rubin

“…Generative AI tools offer opportunities for enhancing learning and assessment, but raise concerns about equity, academic integrity, and the ability to critically engage with AI-generated content. …”
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Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models by Rozhan Feizi, Iman Parseh, Ali Zafarzadeh, Sahand Jorfi, Amir Sheikhmohammadi

“…The Artificial Intelligence (AI) models used to optimize six process parameters showed X2 (humidity) and X3 (voltage) and X5 (surfactant) enhanced removal efficiency the most but X1 (pH) presented a robust negative impact. …”
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An Interpretable and Generalizable Machine Learning Model for Predicting Asthma Outcomes: Integrating AutoML and Explainable AI Techniques by Salman Mahmood, Raza Hasan, Saqib Hussain, Rochak Adhikari

“…Asthma remains a prevalent chronic condition, impacting millions globally and presenting significant clinical and economic challenges. …”
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Innovating engineering education with AI: a case study on ChatGPT 4.0’s role in statics-physics by Gustavo Navas, Gustavo Navas-Reascos, Gabriel E. Navas-Reascos, Sonia Guaño

“…Furthermore, the methodology shows potential for scalability and inclusive education by accommodating diverse learning needs. This work presents a practical model for institutions seeking to integrate AI into their educational practices, thereby creating dynamic and responsive learning experiences. …”
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Towards 4D BIM: A Systematic Literature Review on Challenges, Strategies and Tools in Leveraging AI with BIM by Michael Awe, Avleen Malhi, Marcin Budka, Nicholas Mavengere, Bhargav Dave

“…This review highlights the gaps in current research and emphasizes the importance of integrated digital solutions while also classifying the existing tools, software, and standards related to 4D BIM while presenting a foundation for future research on AI-driven solutions.…”
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A Comprehensive Survey on Emerging AI Technologies for 6G Communications: Research Direction, Trends, Challenges, and Opportunities by Barsha Rani Das, Syed Rakib Hasan, Saifur Rahman Sabuj, Md Akbar Hossain, Sayan Kumar Ray

“…This paper presents the use of AI in 6G communication networks, technologies, techniques, trends, and future research directions. …”
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Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques by Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj

“…We incorporated explainable AI (XAI) techniques such as Layer-wise Relevance Propagation (LRP), Local Interpretable Model-agnostic Explanations (LIME), and attention mechanisms to ensure transparency and reliability in decision-making, which helped us understand the why of model predictions. …”
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