How Non-CS preservice teachers conceptualize and engage with computational thinking through 3D game design: Insights from an XR-enhanced maker experience by Tugce Aldemir, Jewoong Moon, Ali Bicer, Gyuri Byun, Carlos Manrique Perez, Vivek Sabanwar

“…This study explored how low-threshold, XR-enhanced maker environments can support preservice teachers’ (PSTs) engagement with computational thinking (CT) practices and perceptions. …”
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Feature selection‐based android malware adversarial sample generation and detection method by Xiangjun Li, Ke Kong, Su Xu, Pengtao Qin, Daojing He

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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Significance: Nanofluids over a continuously moving thin needle play a crucial role in thermal transport processes in various situations. This geometry facilitates the heat transfer mechanism, which could be crucial in many real-world applications such as cooling of electronic devices, heat exchangers and advanced manufacturing techniques. …”
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Search for molecular descriptors and computer prediction of biological activity in a series of S-derivatives (1,2,4-triazole-3(2H)-yl)methyl)thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko, A. P. Litun

“…Therefore, the development and careful use of new medications require thorough examination of their biological impact profiles, including considerations of human metabolic processes. In silico techniques are currently widely used to evaluate the interactions of emerging drug candidates with pharmacological conditions and predict their metabolic conversions. …”
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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the... by Nataly S. Nosenko, Ekaterina M. Nosenko, Daria S. Alemasova, Tatiana V. Dedy

“…The statistical processing was done using the Statistica software pack version 10.0 (StatSoft). …”
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Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8 by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Vaidehi Deshpande, Rudragoud Patil, Ramchandra Alias Ameet Chate, Varun R. Tandur, Supreet S. Goudar, Shreya Ingale, Vaishnavi Charantimath

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Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria by Yusuf Mansour, Ajoy Savio Fernandes, Kiran Somasundaram, Tarek Hefny, Mahsa Shakeri, Oleg V. Komogortsev, Abhishek Sharma, Michael J. Proulx

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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

“…Through a sequential training and execution process, the framework achieves continuous adaptability without prior knowledge of the deployment environment. …”
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Trusted Web Service Discovery Based on a Swarm Intelligence Algorithm by Zhengwang Ye, Hehe Sheng, Haiyang Zou

“…During the evaluation process, the trust model employs a pseudo-stochastic proportion to select nodes, where nodes with higher reputation have a greater probability of being chosen. …”
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Enhancing the security of memory in cloud infrastructure through in‐phase change memory data randomisation by Xianzhong Zhou, Ying Wang

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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…However, if the specified data dimension or model grows too large, CNN becomes difficult to train effectively with a slowdown processing. In order to address a problem using CNN utilizing quantum computing, Quantum Convolutional Neural Network (QCNN) proposes a novel quantum solution or enhances the functionality of an existing learning model in terms of processing time during training. …”
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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

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Implementing Low Latency and High Energy Efficiency Task Scheduling in MEC Systems Using Improved DDPG Algorithm by Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…The Mobile Edge Computing (MEC) system is crucial in modern networks, particularly for applications requiring low latency and high energy efficiency. …”
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Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet by Iana Fominska, Stefano Di Tore, Michele Nappi, Gerardo Iovane, Maurizio Sibilio, Angela Gelo

“…This paper presents a computational model aimed at enhancing the emotional aspect of learning experiences within museum environments. …”
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A novel quality of service-oriented Spark job scheduler by HE Yulin, MO Peiheng, Fournier-Viger Philippe, HUANG Zhexue

“…Spark is a widely-used big data computing framework to process and analyze the explosive-growing data. …”
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Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation by Zhiheng Zhang, Lin Li, Cheng Zhao, Peng Ren, Ran Zhang

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Reputation-Based Leader Selection Consensus Algorithm with Rewards for Blockchain Technology by Munir Hussain, Amjad Mehmood, Muhammad Altaf Khan, Rabia Khan, Jaime Lloret

“…It has several practical applications such as distributed computing, load balancing, and blockchain transaction validation. …”
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DATE on the Edge: On-Site Oil Spill Detection and Thickness Estimation Using Drone-Based Radar Backscattering by Bilal Hammoud, Charbel Bou Maroun, Norbert Wehn

“…Moreover, we implement the new models on a hardware compute platform to verify the feasibility of edge computing on platforms like drones for effective monitoring and tactical response. …”
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Cropland suitability assessment evolution and outlooks by Shuai Bai, Yujia Chen, Bowen Fu, Meiqi Wu, Tonghui Yu, Xufeng Cui

“…Cropland suitability assessment methods are more and more diversified, scientific, and objective; among them, the multi-criteria decision-making method is the most widely used. (3) In the context of intelligence, the future of cropland suitability assessment should follow the development guideline of combination, union, and integration and actively guide the attempted exploration of blockchains, quantum computing, and other emerging technologies in the field so as to promote the innovative development of cropland suitability assessment. …”
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Reinforcement Learning-Driven Task Offloading and Resource Allocation in Wireless IoT Networks by Zahraa Hashim Kareem, Rami Qais Malik, Sarmad Jawad, Firas Abedi

“…Devices are structured into mobility groups and task offloading is defined as Markov Decision Process (MDP). An ample amount of offloading strategies can be obtained by introducing declaration of tasks and corresponding computers, network throughput, and queueing delays. …”
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