Temperature aware energy-efficient task scheduling strategies for mapreduce by Bin LIAO, Tao ZHANG, Jiong YU, Ji LIU, tong YINLu, Gang GUO

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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…The architecture integrates wearable sensors, edge computing nodes, and cloud services to enable dynamic task orchestration and secure data fusion. …”
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A Detailed Set of Ideas for Designing a Quantum Computing Framework Based on Smart Contracts, Configured Using Foundry and Qiskit by Alexandru-Gabriel Tudorache

“… The purpose of this paper is to describe a new system design for integrating quantum computing algorithms (and their results) into a blockchain network. …”
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Quantum algorithms for enhanced educational technologies by Basil Hanafi, Mohammad Ali, Devyaani Singh

“…Abstract Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. …”
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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

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A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

“…Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. …”
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Implementation of Bayesian Network Based on Ultra-High-Speed Superconductor Random Number Generators by Rikuo Yamanaka, Nobuyuki Yoshikawa, Yuki Yamanashi

“…However, analyzing large-scale BNs can lead to a computational explosion due to the exponential growth in network complexity. …”
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A Transient Photoelectric Spiking Neuron Based on a Highly Robust MgO Composite Threshold Switching Memristor for Selective UV Perception by Yaxiong Cao, Rui Wang, Saisai Wang, Tonglong Zeng, Wanlin Zhang, Jing Sun, Xiaohua Ma, Hong Wang, Yue Hao

“…The transient memristor with a MgO:Mg resistive layer implemented by the co‐sputtering process of MgO and Mg targets shows highly robust TS performance, while the ZnO‐based transient photodetector can selectively detect UV light at power densities below 10 mW cm−2. …”
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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…Then, a new dynamic loss function is adopted in the training process to guide the model to perform refined detection of ice-covered boundaries. …”
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Architectural Design for Data Security in Cloud-based Big Data Systems by Mujeeb-ur-Rehman Jamali, Najma Imtiaz Ali, Abdul Ghafoor Memon, Mujeeb-u-Rehman Maree, Aadil Jamali

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SDN Enhanced Resource Orchestration of Containerized Edge Applications for Industrial IoT by Jude Okwuibe, Juuso Haavisto, Erkki Harjula, Ijaz Ahmad, Mika Ylianttila

“…We compare a native implementation to a containerized implementation where video processing is orchestrated while streaming is handled by an external UE representing the IIoT device. …”
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Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing by Mohamed Elkawkagy, Ibrahim A. Elgendy, Samia Allaoua Chelloug, Heba Elbeh

“…Mobile Edge Computing (MEC) alleviates latency and bandwidth strain on centralized cloud infrastructures by enabling the offloading of tasks to proximal edge servers, yet resource optimization in dense dynamic networks remains an open problem. …”
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Development of a course for training in modern cloud technologies by A. V. Stavitskiy, I. G. Ashavskiy, D. V. Volkov

“…The aim of the study is to create a course on modern cloud technologies based on the openstack cloud virtualization platform.The popularity of the openstack platform makes it the main platform for building cloud technologies in many large Russian and international companies in various business areas.In the process of developing the course, the goal was to adhere to the principles of open education.Development of the course was motivated by the growing popularity of cloud technologies in most IT companies and demand for qualified specialists in this field.Materials and methods. …”
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A 10-meter global terrace mapping using sentinel-2 imagery and topographic features with deep learning methods and cloud computing platform support by Yifan Li, Fuyou Tian, Miao Zhang, Hongwei Zeng, Shukri Ahmed, Xinli Qin, Yanxu Liu, Lizhe Wang, Runyu Fan, Bingfang Wu

“…UNet outperformed others in terrace identification, achieving an overall accuracy of 92.8 % and a mean Intersection over Union (MIoU) of 75.9 %. The entire data processing workflow, using Google Earth Engine for data acquisition, Google Drive for storage, Google Earth Pro for computational capabilities, and the T4 GPU in cloud computing resources, requires approximately 625 h. …”
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Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models by Ang Zhang, Aqil Tariq, Abdul Quddoos, Iram Naz, Rana Waqar Aslam, Elgar Barboza, Sajid Ullah, M. Abdullah-Al-Wadud

“…This study investigated historical and projected LULC changes and urban growth patterns in the districts of Multan and Sargodha, Pakistan, using Landsat satellite imagery, cloud computing, and predictive modelling from 1990 to 2030. …”
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Learner stimulus intent: a framework for eye tracking data collection and feature extraction in computer programming education by K. R. Chandrika, J. Amudha

“…Abstract Eye tracking technology offers valuable insights into the cognitive processes of learners in computer programming education. …”
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Symbolic-numeric approach for the investigation of kinetic models by Ekaterina A. Demidova, Daria M. Belicheva, Victoria M. Shutenko, Anna V. Korolkova, Dmitry S. Kulyabov

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Computational Study of Multiterm Time-Fractional Differential Equation Using Cubic B-Spline Finite Element Method by Shams Ul Arifeen, Sirajul Haq, Farhan Golkarmanesh

“…Due to the symmetry feature in nature, fractional differential equations precisely measure and describe biological and physical processes. Multiterm time-fractional order has been introduced to model complex processes in different physical phenomena. …”
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Mixture of Emotion Dependent Experts: Facial Expressions Recognition in Videos Through Stacked Expert Models by Ali N. Salman, Karen Rosero, Lucas Goncalves, Carlos Busso

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Optimization of thermal efficiency and energy consumption in a hybrid infrared heating technique: Artificial intelligence and computational simulations by Fangfang Liu, Hany S. El-Mesery, Ahmed H. ElMesiry, Mansuur Husein, Amer Ali Mahdi

“…This research highlights the potential of advanced computational tools in enhancing food drying processes, providing valuable insights for the food industry as it seeks to improve efficiency and reduce energy consumption during the drying process.…”
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