Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

“…To address existing limitations, we propose a novel paradigm that integrates machine learning with computer simulations by embedding simulation-derived constraints and structural priors directly into the model training process. …”
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Integrating Human-Computer Interactions in Nigerian Energy System: A Skills Requirement Analysis by Omoseni Adepoju, Oluwarotimi Akinyomi, Oluwadamilola Esan

“…Industry 4.0 technologies and Human-Computer Interaction (HCI) present opportunities that address the challenges of the energy sector in Nigeria. …”
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Gamification of motor imagery brain-computer interface training protocols: A systematic review by Fred Atilla, Marie Postma, Maryam Alimardani

“…Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and monotonous training procedure to train both the system and the user. …”
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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

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Dietary compounds activates sirtuins – a computational modeling approach towards the management of ageing by Nail Besli, Mazhar T. Kaya, Nilufer Ercin, Ulkan Celik

“…This report explores potential new insights by leveraging the innovative intersection of natural bioactive compounds and sirtuin modulation through computational drug design. Using state-of-the-art in silico techniques, including high throughput virtual screening (HTVS) and molecular dynamics (MD) simulation, the study identifies natural compounds from various dietary sources for sirtuin proteins (SIRT 1, 3, 6, 7) related to the cellular process in aging. …”
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Real-time crop row detection using computer vision- application in agricultural robots by Md. Nazmuzzaman Khan, Adibuzzaman Rahi, Veera P. Rajendran, Mohammad Al Hasan, Sohel Anwar

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Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks by Ângela Semitela, João Silva, André F. Girão, Samuel Verdasca, Rita Futre, Nuno Lau, José P. Santos, António Completo

“…This paper proposes an automated system integrating infrared thermography (IRT) and computer vision for air leak detection and localization in end-of-line (EOL) testing stations. …”
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Computer-Aided Design to Improve the Thermal Stability of <i>Rhizomucor miehei</i> Lipase by Rong Teng, Jin Zhang, Zhui Tu, Qinghua He, Yanping Li

“…This study validated the efficacy and dependability of computer-aided design to generate heat-resistant RML mutants and indicated that RML N120M/E230I/N264M lipase can be used as an effective biocatalyst for fat processing in the food industry.…”
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STUDENTS’ PERCEPTION OF COMPUTER-BASED TESTING-EDUBOX– AND ITS IMPACT ON THEIR ENGLISH LEARNING MOTIVATION by Amalia Rahisa Dewi, Andang Saehu, Rahmat Budiman

“…Learning motivation as a part of learning process needs to be scrutinized by reason of it could trigger the students to achieve their learning performance successfully. …”
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Computer Vision Technology for Short Fiber Segmentation and Measurement in Scanning Electron Microscopy Images by Evgenii Kurkin, Evgenii Minaev, Andrey Sedelnikov, Jose Gabriel Quijada Pioquinto, Vladislava Chertykovtseva, Andrey Gavrilov

“…Computer vision technology for the automatic recognition and geometric characterization of carbon and glass fibers in scanning electron microscopy images is proposed. …”
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Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques by Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz

“…Traditional solutions tend to use standard techniques like basic data wrapping and cryptographic 'rings'; but, due to the design properties required, they end up as lightweight mechanisms, usually not interpretation-at-all capable because of the need for protecting data during processing - leaving these applications hard to use and maintain long-term, or otherwise, limited to cloud computing and federated learning, when individual data types can be worked on within providers like AWS, Azure, etc, etc; or, even, explaining the results with near total indifference to the underlying big data tools, analytics, or neural architectures. …”
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Cone beam computed tomography analysis of maxillary vestibular bone thickness in the esthetic region by Đurđević Milica, Bubalo Marija, Luković Ana, Igić Ana, Acović Aleksandar, Kanjevac Tatjana

“…The data were statistically processed and analyzed. Results. A total of 373 teeth of the frontal region of the upper jaw, including 128 central incisors, 124 lateral incisors, and 121 canines, were analyzed. …”
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Computer-Aided Diagnosis in Spontaneous Abortion: A Histopathology Dataset and Benchmark for Products of Conception by Tahir Mahmood, Zeeshan Ullah, Atif Latif, Binish Arif Sultan, Muhammad Zubair, Zahid Ullah, AbuZar Ansari, Talat Zehra, Shahzad Ahmed, Naqqash Dilshad

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Enhancing computational efficiency in solving Knapsack problem: insights from algorithmic parallelization and optimization by Bashar Bin Usman, Okeyinka Aderemi Elisha, Ibrahim Abdullahi, Idris Rabiu, Adamu Isah, Abdulganiyyu Abdulrahman

“…Our methodology involved utilizing advanced Parallelization techniques to accelerate the implementation of loop-based optimization algorithms by distributing tasks across multiple processing units concurrently. This simultaneous execution minimized computational time, enhanced overall efficiency, and improved scalability, enabling effective resolution of large-scale optimization challenges. …”
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Validation of video-assisted computer vision goniometry to measure shoulder abduction motor function by Sergey A. Demkin, Anastasia A. Malyakina, Sergey A. Akhramovich, Oleg A. Kaplunov, Irina E. Obramenko, Irina E. Simonova

“…The objective was to validate a video-assisted computer vision goniometry of the motor function of shoulder abduction using the potential of neural networks. …”

Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography by Emma Playford, Simon Stewart, Gerard Hoyne, Geoff Strange, Girish Dwivedi, Christian Hamilton-Craig, Gemma Figtree, David Playford

“…Atherosclerosis was extracted using natural language processing of the CCTA report, including the coronary artery calcium score (CACS) and the extent and severity of CAD. …”
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Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations by Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki, Satoki Tsuji, Koji Nakano, Victor Parque, Akihiko Kasagi

“…Our work has the potential to explore new parallelization schemes of distinct and complex computation paths involved in ERI computation.…”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…An important result of the VIC of steel ropes using computer vision and artificial intelligence is an increase in reliability and safety during the operation of elevator equipment.…”
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Detecting wing fractures in chickens using deep learning, photographs and computed tomography scanning by Kacper Libera, Dirk Schut, Effrosyni Kritsi, Louis van Steijn, Timothy Dallman, Len Lipman

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Effect of Computer-Assisted Cognitive Training on Visual Perception in Children with Intellectual Development Disorders by LI Zhaoying, DENG Haiyin, HUANG Zhenming, HE Youze, TU Jingnan, CAO Lei, HUANG Jia, WU Jingsong

“…ObjectiveTo explore the clinical rehabilitation effect of a computer-assisted cognitive training on visual perception function of children with intellectual development disorders (IDD).MethodsA total of sixty IDD participants, aged 4-6.5 years old, recruited from special education schools and children's rehabilitation centers in Fuzhou city between August 2019 to December 2020, were included in the study, and they were randomly divided into control group and experimental group, with 30 cases in each group, 4 cases dropped out during the process of the study in each of the two groups. …”
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