High throughput computational screening and interpretable machine learning for iodine capture of metal-organic frameworks by Haoyi Tan, Yukun Teng, Guangcun Shan

“…Initially, the relationship between the structural characteristics of MOF materials (including density, surface area and pore features) and their adsorption properties was explored, with the aim of identifying the optimal structural parameters for iodine capture. …”
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Lateralised memory networks may explain the use of higher-order visual features in navigating insects. by Giulio Filippi, James Knight, Andrew Philippides, Paul Graham

“…Several experimental studies have suggested ants use "higher-order" visual information - that is features extracted across the whole extent of a visual scene - which raises the question as to how these features might be computed. …”
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RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification by Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

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LatentResNet: An Optimized Underwater Fish Classification Model with a Low Computational Cost by Muhab Hariri, Ercan Avsar, Ahmet Aydın

“…This paper presents LatentResNet, a computationally lightweight deep learning model involving two key innovations: (i) using the encoder from the proposed LiteAE, a lightweight autoencoder for image reconstruction, as input to the model to reduce the spatial dimension of the data and (ii) integrating a DeepResNet architecture with lightweight feature extraction components to refine encoder-extracted features. …”
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Object detection model design for tiny road surface damage by Chenguang Wu, Min Ye, Hongwei Li, Jiale Zhang

“…Firstly, a backbone applied to road surface damage feature extraction is designed to solve the problems of feature loss and insufficient extraction of tiny damage during feature extraction. …”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…Additionally, the size of the improved detection head is reduced by adopting a parameter-sharing approach, thereby balancing detection accuracy with computational efficiency. …”
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Investigation of the Carbon Dioxide Centrifugal Compressor Working Process using Computational Fluid Dynamics Methods by Fateeva E.S., Danilishin A.M., Kozhukhov Y.V., Kazantsev R.A.

“…The article investigates the carbon dioxide (CO₂) centrifugal compressor using computational fluid dynamics (CFD). CO₂ centrifugal compressors are used in refrigeration and cryogenic systems, power plants with subcritical and transcritical cycles, including Brayton cycle. …”
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THE METHOD OF JITTER DETERMINING IN THE TELECOMMUNICATION NETWORK OF A COMPUTER SYSTEM ON A SPECIAL SOFTWARE PLATFORM by Mykhailo Mozhaiev, Nina Kuchuk, Maksym Usatenko

“…Relevance of the study: When choosing a platform, the quality criteria for computer system service depend significantly on the parameters of the basic telecommunications network. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…Signal processing is conducted using advanced methods that include computational intelligence, digital signal processing, and artificial intelligence tools for data classification. …”
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A Deep Learning based Optimization Model for Based Computer Interface of Wheelchair Directional Control by Zaid Raad Saber Zubair

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EFINet: Efficient Feature Interaction Network for Real-Time RGB-D Semantic Segmentation by Zhe Yang, Baozhong Mu, Mingxun Wang, Xin Wang, Jie Xu, Baolu Yang, Cheng Yang, Hong Li, Rongqi Lv

“…Currently, although convolutional neural network (CNN) methods are less accurate than Transformer-based methods, they offer stronger real-time performance under the same computational load. Therefore, in this study, we proposed the Efficient Feature Interaction Network (EFINet), a real-time RGB-D segmentation method that uses a lightweight CNN encoder and incorporates encoder blocks with a lightweight upsampling method Dysample and the carefully optimized number of ConvNeXt V2 blocks, to redesign the decoder and minimize redundant computations. …”
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Computational Screening of Heterocyclic L-Type Calcium Channel Blockers for Potential Anti-Parkinson’s Activity by Thomas Kurian, Rani Sebastian

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GELSTATS: A Computer Program for Population Genetics Analyses Using VNTR Multilocus Probe Data by Steven H. Rogstad, Stephan Pelikan

“…A jackknife test for heterozygosity differences between groups is also computed. Examples of GELSTATS analyses illustrate some features of the program.…”
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Bivariate Epanechnikov-exponential distribution: statistical properties, reliability measures, and applications to computer science data by H. M. Barakat, M. A. Alawady, I. A. Husseiny, M. Nagy, A. H. Mansi, M. O. Mohamed

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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Thus, in order to demonstrate the geometrical similarities and differences in mathematical terms, similarities between sample features were calculated, measuring sizes and populations along different directions which could be used to establish rules and parameters for the appropriate control of nucleation and growth. …”
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Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations by Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

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LN-DETR: cross-scale feature fusion and re-weighting for lung nodule detection by Dibin Zhou, Honggang Xu, Wenhao Liu, Fuchang Liu

“…First, we designed a Deep and Shallow Detail Fusion layer that effectively fuses cross-scale features from both shallow and deep layers. Second, we optimized the computational load of the backbone network, effectively reducing the overall scale of the model. …”
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Edge computing based english translation model using fuzzy semantic optimal control technique. by Na Wang

“…People's need for English translation is gradually growing in the modern era of technological advancements, and a computer that can comprehend and interpret English is now more crucial than ever. …”
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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

“…To address the current issue of large computations and the difficulty in balancing model complexity and detection accuracy in pavement defect detection models, a lightweight pavement defect detection algorithm, PGS-YOLO, is proposed based on YOLOv8, which integrates perception enhancement and feature optimization. …”
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