Deep learning and transfer learning for device-free human activity recognition: A survey by Jianfei Yang, Yuecong Xu, Haozhi Cao, Han Zou, Lihua Xie

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Mobile app review analysis for crowdsourcing of software requirements: a mapping study of automated and semi-automated tools by Rhodes Massenon, Ishaya Gambo, Roseline Oluwaseun Ogundokun, Ezekiel Adebayo Ogundepo, Sweta Srivastava, Saurabh Agarwal, Wooguil Pak

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Aerodynamics of Corrugated Wings: Past, Present, and Future by Eduards Lurans, Almajd Alhinai, Harish Viswanathan

“…This review outlines durability issues, materials selection, and experimental testing complemented by numerical models while determining the importance of interdisciplinary developments within corrugated wing aerodynamics using potential AI-assisted design. …”
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ANF-Net: A Refined Segmentation Network for Road Scenes with Multiple Noises and Various Morphologies of Cracks by Xiao Hu, Qihao Chen, Xiuguo Liu, Gang Deng, Cheng Chi, Bin Wang

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The Use of Road Microsimulation Software within BIM Environments: A Preliminary Assessment by Marilisa Botte, Amedeo Zampi, Cristina Oreto, Luca D’Acierno

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Corrosion challenges in petroleum refinery operations: Sources, mechanisms, mitigation, and future outlook by Aisha H. Al-Moubaraki, Ime Bassey Obot

“…The review concludes that corrosion in the refinery has not received wide attention in the literature like other corrosion issues in the petroleum industry. The advancement of research in the area of real time and accurate prediction models, collection of sufficient data regarding ammonium bisulfide (NH4HS) corrosion in the refinery plant, development of novel smart nanomaterials coating, and environmentally friendly high temperature corrosion inhibitors are needed for effective mitigation of refinery corrosion.…”
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Exploring Perspectives of Blockchain Technology and Traditional Centralized Technology in Organ Donation Management: A Comprehensive Review by Geet Bawa, Harmeet Singh, Sita Rani, Aman Kataria, Hong Min

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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis [version 3; peer review: 1 approved, 2 approved with reservations, 1 not ap... by Nakorn Tippayawong, Sakprayut Sinthupinyo, Somboon Sukpancharoen, Tossapon Katongtung

“…Methods Hydrothermal liquefaction is a complex process that is challenging to explain, leading to research on machine learning models for this process. These models aim to predict values and investigate the impact of variables on the hydrothermal liquefaction process. …”
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Consequence Analysis of LPG-Related Hazards: Ensuring Safe Transitions to Cleaner Energy by Carolina Ardila-Suarez, Jean-Paul Lacoursière, Gervais Soucy, Bruna Rego de Vasconcelos

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Money in the islamic economy by S. Yu. Babenkova

“…At the same time, the main engine of Islamic finance is money, which, at the same time, functions in classical, Western economic models.The purpose of the article is to analyze the concept and essence of money from the point of view of Islam as a fundamental element in terms of a fundamental understanding of the essence of money from the point of view of religion. …”
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Fast and fair split computing for accelerating deep neural network (DNN) inference by Dongju Cha, Jaewook Lee, Daeyoung Jung, Sangheon Pack

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Traffic Signal Optimization under Connected-Vehicle Environment: An Overview by Jindong Wang, Shengchuan Jiang, Yue Qiu, Yang Zhang, Jianguo Ying, Yuchuan Du

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Regularities of the Development of Coastal Processes on Water Reservoirs of Hydroelectric Power Plants of Belarus by V. E. Levkevich

“…Therefore, the results of theoretical studies of the process of processing of coastal slopes of reservoirs of hydroelectric power plants of Belarus presented by the author, along with the updated data, are of practical importance for decision-making in the regulation of engineering activities for coastal protection. The article presents the theoretical issues of the development of abrasion processes in the banks of reservoirs of hydroelectric power plants in Belarus, based on the data of field observations and laboratory studies. …”
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Artificial Intelligence‐Augmented Additive Manufacturing: Insights on Closed‐Loop 3D Printing by Abdul Rahman Sani, Ali Zolfagharian, Abbas Z. Kouzani

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Credit card fraud detection in the era of disruptive technologies: A systematic review by Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri, Manal Kalkatawi, Abdessamad Imine

“…The selection of 40 relevant articles is reviewed and categorized according to the topics covered (class imbalance problem, feature engineering, etc.) and the machine learning technology used (modelling traditional and deep learning). …”
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AN ADAPTED ANALYTICAL SOLUTION TO THE MULHOLLAND EQUATION: MODIFIED DIRECT ITERATION PROCEDURE by Sabrina Sultana, B M Ikramul Haque, M. M. Ayub Hossain

“…The suggested method can be widely applied to different engineering issues, while it is primarily demonstrated in nonlinear models with strong nonlinear factors.…”
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On the Analytical Treatment for the Fractional-Order Coupled Partial Differential Equations via Fixed Point Formulation and Generalized Fractional Derivative Operators by Saima Rashid, Sobia Sultana, Nazeran Idrees, Ebenezer Bonyah

“…High-dimensional fractional equation investigation is a cutting-edge discipline with considerable pragmatic and speculative consequences in engineering, epidemiology, and other scientific disciplines. …”
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DAPT: A package enabling distributed automated parameter testing by Ben Duggan, John Metzcar, Paul Macklin

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Fully Autonomous Buses: A Literature Review and Future Research Directions by Mojdeh Azad, Nima Hoseinzadeh, Candace Brakewood, Christopher R. Cherry, Lee D. Han

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Knowledge Management: Any changes in the Research Agenda? by S. V. Orekhova, О. М. Nikitina

“…It is shown that among the theoretical frameworks in knowledge management, the most popular are knowledge engineering and knowledge-based theory of the firm. …”
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