A QFD-based decision making model for computer-aided design software selection by Kanika Prasad, Shankar Chakraborty

“…Moreover, there are very few published research papers related to CAD software selection, and majority of them have either employed criteria weights computed utilizing subjective judgements of the end users or floundered to incorporate the voice of customers in the decision making process. …”
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Computer Simulation of the Natural Vibrations of a Rigidly Fixed Plate Considering Temperature Shock by Andry Sedelnikov, Sergey Glushkov, Maksim Evtushenko, Yurii Skvortsov, Alexandra Nikolaeva

“…This paper presents the results of a computational experiment on the natural vibrations of a homogeneous rigidly fixed plate after a temperature shock. …”
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A novel, human-in-the-loop computational grounded theory framework for big social data by Lama Alqazlan, Zheng Fang, Michael Castelle, Rob Procter

“…However, a critical concern for researchers is the trustworthiness of results when machine learning and natural language processing tools are used to analyse such data. We argue that confidence in the credibility and robustness of results depends on adopting a ’human-in-the-loop’ methodology that is able to provide researchers with control over the analytical process, while retaining the benefits of using machine learning and natural language processing. …”
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Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers by Kesgin Bahadır Utku, Teğin Uğur

“…Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency. …”
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Mathematical modeling of fluid movement inside the eyeball during intravitreal injection by D. V. Lipatov, S. A. Skladchikov, N. P. Savenkova, V. V. Novoderezkin, Ph. I. Vysikailo

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In-situ training in programmable photonic frequency circuits by Rübeling Philip, Marchukov Oleksandr V., Bellotti Filipe F., Hoff Ulrich B., Zinner Nikolaj T., Kues Michael

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Efficient Orchestration of Distributed Workloads in Multi-Region Kubernetes Cluster by Radoslav Furnadzhiev, Mitko Shopov, Nikolay Kakanakov

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A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems by A. Vinil, Parameswaran Iyer, Jetain Chetan, Aniket Bembale, Nagendra Singh

“…They either cannot be adapted to dynamic graphs or become computationally expensive. The challenge of processing dynamic graphs, which demands significant computational resources, can be addressed using Classical and Quantum Machine Learning methods. …”
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From molecules to data: the emerging impact of chemoinformatics in chemistry by Anup Basnet Chetry, Keisuke Ohto

“…Emerging technologies, including quantum computing, hold promise for further revolutionizing the field by offering new capabilities for simulating and optimizing chemical processes. …”
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COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results by C. D. Tremblay, J. Sofair, L. Steffes, T. Myburgh, D. Czech, P. B. Demorest, R. A. Donnachie, A. W. Pollak, M. Ruzindana, Siemion A. P. V., S. S. Varghese, S. Z. Sheikh

“…We have built a digital signal processing system and computer cluster on the backend of the Karl G. …”
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Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization by Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo

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A method for spatial interpretation of weakly supervised deep learning models in computational pathology by Abhinav Sharma, Bojing Liu, Mattias Rantalainen

“…The method is easy to implement, is directly connected to the model-based decision process, and offers information relevant to both research and diagnostic applications.…”
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Designing a Monitoring Tool for Mosul University Network to Detect Worm Infected Computers by Asmaa Hamoo, Sundus Muhamed

“…In order to make use of the web services, it has recently become inevitable to connect computers to the internet. This connection, however, make the computers prone to the challenges of intrusion and hacking. …”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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A structural health monitoring method proposal based on optical scanning and computational models by Wendy Flores-Fuentes, Ivan Yeniseysk Alba-Corpus, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez

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Optimization of Rock-Cutting Tools: Improvements in Structural Design and Process Efficiency by Yuecao Cao, Qiang Zhang, Shucheng Zhang, Ying Tian, Xiangwei Dong, Xiaojun Song, Dongxiang Wang

“…Topology optimization, as an advanced computational design method, offers transformative potential for lightweight, high-strength cutter structures and adaptive cutting process control. …”
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Polymorphism in Glu-Phe-Asp Proteinoids by Panagiotis Mougkogiannis, Andrew Adamatzky

“…This finding is significant for biomimetic computing and sheds light on prebiotic information-processing systems.…”
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Quantifying Visual Navigation in Campus Open Spaces Using a Computer Vision Model by Nabil Mohareb, Abdelaziz Ashraf

“…This process quantifies the proportional composition of visual elements such as greenery, open sky, walkways, buildings, and other structures that participants encounter. …”
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H∞ filtering of uncertain predictive models: Gain computation using LMI and performance evaluation by Eli G. Pale Ramon, Oscar G. Ibarra-Manzano, José A. Andrade-Lucio, Yuriy S. Shmaliy

“…Increasing the process informativity and the efficiency of control is achieved using state estimators, which need to be robust under harsh conditions. …”
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BEST PRACTICE IN ENHANCING SOCIO-EMOTIONAL LEARNING IN PRIMARY SCHOOL THROUGH COMPUTATIONAL THINKING by Antoaneta-Firuţa TACEA, Anişoara DUMITRACHE, Beatrice ALMĂŞAN, Dana MANOLACHE

“…Computational thinking is a structured, cognitive process centered on decomposition, pattern recognition, and algorithm development, which is used for problem solving in a logical and organized manner. …”
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