A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan by Nadeem Ahmed Siddiqui, Muhammad Anees, Fareed Shaikh, Zia Ur Rehman

“…However, hurdles including the absence of a comprehensive vascular surgery database, a shortage of AI experts, and potential algorithmic biases pose significant challenges to AI implementation. …”
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Utilizing Artificial Intelligence (AI) for the optimal design of geothermal cogeneration systems in zero energy building by Ehsanolah Assareh, Mohammad Zoghi, Ali Zare, Hassan Bazazzadeh, Adnan Alboghobeysh, Saleh Mobayen, Nima Izadyar, Siamak Hoseinzadeh

“…This research investigates the design and optimization of energy consumption for a five-story residential building in Copenhagen, Denmark, comprising ten units of 100 square meters each. …”
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An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival by Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar

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MODERN APPROACHES AND TECHNOLOGIES OF PSYCHOLOGICAL SUPPORT OF FAMILIES OF PARTICIPANTS (VETERANS) OF A SPECIAL MILITARY OPERATION by Roza I. Kadieva, Aizanat R. Davudova

“…The purpose of this article is to develop and systematize methods and approaches for psychological support for families of participants in the Special Military Operation (SMO), based on an analysis of international and domestic experience, to enhance the effectiveness of social and psychological support in conditions of loss and post-traumatic stress. Research materials. Scientific articles and studies dedicated to psychological support for children and families of military personnel who have experienced loss, with an emphasis on traumatic stress, grief, and recovery; guidelines and practices concerning cognitive-behavioral therapy (CBT) and other psychotherapeutic approaches applied to children and adolescents in stressful situations; regulatory documents and legislative acts governing support for veterans and their families, including international experience in working with families of deceased military personnel; psychological tools and support algorithms developed in international and domestic practice for working with families who have lost relatives in military service. …”
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Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

“…Abstract Research into quantum advantage is increasingly taking on an interdisciplinary character. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C by Shalem Preetham Gandu, M. Roshni Thanka, E. Bijolin Edwin, Ebenezer Veemaraj, S. Stewart Kirubakaran

“…After evaluating several categories of machine learning (ML) algorithms for classification, the study employed seven algorithms: an Artificial Neural Network (ANN) and an ensemble model combining these seven distinct algorithms. …”
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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…This study focuses on Shajing Town, Qinzhou City, Guangxi Zhuang Autonomous Region, China, as its research area. It utilizes multi-spectral image data from unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR) point cloud technology, and deep learning algorithms to extract representative oyster pile columns in Maowei Sea within Beibu Gulf. …”
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Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications by Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Hadi Salloum, Pavel Osinenko

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A large open access dataset of transillumination imaging toward the realization of optical computed tomography by To Ni Phan Van, Hoang Nhut Huynh, Ngoc An Dang Nguyen, Trung Nghia Tran, Koichi Shimizu

“…Artificial intelligence algorithms have gained prominence for enhancing transillumination images and addressing challenges such as scattering suppression, depth estimation, and three-dimensional structure reconstruction. …”
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Prediction Approaches for Smart Cultivation: A Comparative Study by Amitabha Chakrabarty, Nafees Mansoor, Muhammad Irfan Uddin, Mosleh Hmoud Al-adaileh, Nizar Alsharif, Fawaz Waselallah Alsaade

“…Comparison between neural networks and numbers of machine learning algorithms has been carried out in this research. It is observed that the neural network outperforms the other methods by maintaining an average prediction accuracy of 96.06% for six different crops. …”
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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…This paper analyses existing research about machine learning approaches in software defect prediction as a key element for improving software reliability and quality. …”
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Comparative study of the selected methods of laryngeal tone determination by W. Wszołek, M. Kłaczyński

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A Bibliometric Review of Type-3 Fuzzy Logic Applications by Fevrier Valdez, Oscar Castillo, Patricia Melin

“…This program is used for the creation of maps of papers, authors, etc., and the development of maps for keywords, countries, research groups, and more.…”
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TRANSFORMATIVE TECHNOLOGIES by Grzegorz Bryda, António Pedro Costa

“…Incorporating AI, Machine Learning (ML), and Natural Language Processing (NLP) technologies in CAQDAS tools has automated the identification of themes and relationships within data, thereby accelerating the research process. Though this fusion has immense benefits, it necessitates addressing ethical and methodological challenges such as algorithmic bias and the importance of human interpretation for accurate results.…”
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Comparative study on the drying mechanisms and characteristic changes of fabrics according to heat transfer principles by Jiyul Lee, Jaeyong Cho, Suhyun Lee

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Optimization of Enterprise Labor Resource Allocation Based on Quality Optimization Model by Gaoyang Liang, Long Xu, Liang Chen

“…The various links in this article are closely related to form a comprehensive, scientific, and systematic research system for optimal human resource allocation, human resource management, and development. …”
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Error Analysis of Sound Source Directivity Interpolation Based on Spherical Harmonics by Adam SZWAJCOWSKI, Daniel KRAUSE, Anna SNAKOWSKA

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Compression Sensitivity of the Burrows–Wheeler Transform and Its Bijective Variant by Hyodam Jeon, Dominik Köppl

“…The Burrows–Wheeler Transform (BWT) is a widely used reversible data compression method, forming the foundation of various compression algorithms and indexing structures. Prior research has analyzed the sensitivity of compression methods and repetitiveness measures to single-character edits, particularly in binary alphabets. …”
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Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…It concludes by offering practical recommendations for policy, pedagogy, and future research to foster a more equitable, AI-enabled academic ecosystem …”
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Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration by Ali Shehadeh, Odey Alshboul

“…Traditional clash detection methods in Building Information Modeling (BIM) systems are predominantly reactive, identifying discrepancies only after their occurrence, leading to costly and time-consuming design revisions. By integrating ML algorithms with VR-driven BIM, our approach proactively identifies and resolves clashes, as demonstrated across 28 diverse engineering projects. …”
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