Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

“…The aim of this study was to develop and evaluate a computer-aided visualisation–based deep learning (DL) system using a panoramic radiograph to predict the difficulty level of surgical removal of an impacted LM3. …”
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Enhanced CATBraTS for Brain Tumour Semantic Segmentation by Rim El Badaoui, Ester Bonmati Coll, Alexandra Psarrou, Hykoush A. Asaturyan, Barbara Villarini

“…Automatic brain tumour segmentation tools in computer vision have integrated powerful deep learning architectures to enable accurate tumour boundary delineation. …”
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Survey of Artificial Intelligence Model Marketplace by Mian Qian, Abubakar Ahmad Musa, Milon Biswas, Yifan Guo, Weixian Liao, Wei Yu

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Intelligent clustering using moth flame optimizer for vehicular ad hoc networks by Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan

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FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…Initially, we introduce a lightweight RFConv-Block module that enhances spatial feature extraction capabilities while reducing computational redundancy. Subsequently, we combine the Efficient Additive feature selection mechanism with an intra-scale feature interaction module to form the EA-AIFI module, which strengthens the model’s focus on dense targets and reduces computational burden. …”
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IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data by Adnan Rahman Sayeem, Jannatul Ferdous Omi, Mehedi Hasan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty

“…This dataset will help the researchers for further research on Malabar Spinach disease detection implementing various efficient computational models and applying advanced machine learning techniques.…”
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Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems by Walaa Hussein, Kamil Audah, N. K. Noordin, Habib Kraiem, Aymen Flah, Mohd Fadlee, Alyani Ismail

“…However, existing massive MIMO systems face challenges with their high computational complexity and intricate spatial structures, preventing efficient utilization of channel and sparsity features in these multiantenna systems. …”
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A Two-Stage Method for Screening Pulse RFI in SAR Raw Data Alternating the Use of Time and Frequency Domains by Tingting Wei, Xingwang Hu, Zhengwei Guo, Gaofeng Shu, Yabo Huang, Ning Li

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Design and Implementation of a GaN-Based Composite Hybrid Switched-Capacitor DC-DC Converter for Space Applications by Samantha Coday, Elisa Krause, Margaret E. Blackwell, Rahul K. Iyer, Nathan M. Ellis, Ansel Barchowsky, Robert C.N. Pilawa-Podgurski

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LotusSQL: SQL Engine for High-Performance Big Data Systems by Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen

“…Above the storage design and user interface of the compute engine, LotusSQL implements a set of structured dataset operations with high efficiency and integrates them with the frontend. …”
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Modeling of Small DC Magnetic Field Response in Trilayer Magnetoelectric Laminate Composites by B. Zadov, A. Elmalem, E. Paperno, I. Gluzman, A. Nudelman, D. Levron, A. Grosz, S. Lineykin, E. Liverts

“…For approaching the real materials’ properties, a measured magnetization curve of the Ni plate is used in the computations. The reported results take into account the finite-size effects of the structure, such as the fringing electric field effect and the demagnetization, as well as the effect of the finite conductivity of the Ni layers on the output voltage. …”
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STICI: Split-Transformer with integrated convolutions for genotype imputation by Mohammad Erfan Mowlaei, Chong Li, Oveis Jamialahmadi, Raquel Dias, Junjie Chen, Benyamin Jamialahmadi, Timothy Richard Rebbeck, Vincenzo Carnevale, Sudhir Kumar, Xinghua Shi

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Election Prediction on Twitter: A Systematic Mapping Study by Asif Khan, Huaping Zhang, Nada Boudjellal, Arshad Ahmad, Jianyun Shang, Lin Dai, Bashir Hayat

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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data by Mussadiq Abdul Rahim, Sultan Daud Khan, Salabat Khan, Muhammad Rashid, Rafi Ullah, Hanan Tariq, Stanislaw Czapp

“…Whether the computer is driving your car or you are, advanced driver assistance systems (ADAS) come into play on all levels, from weather monitoring to safety. …”
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LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Triple (and quadruple) soft-gluon radiation in QCD hard scattering by Stefano Catani, Dimitri Colferai, Alessandro Torrini

“…The three-gluon current is expressed in terms of maximally non-abelian irreducible correlations. We compute the soft behaviour of squared amplitudes and the colour correlations produced by the squared current. …”
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An Efficient Estimation Method for Reducing the Axial Intensity Drop in Circular Cone-Beam CT by Lei Zhu, Jared Starman, Rebecca Fahrig

“…The algorithm performance is evaluated using computer simulations on analytical phantoms. The reconstruction comparison with results using other existing algorithms shows that the proposed algorithm achieves a superior performance on the reduction of axial intensity drop artifacts with a high computation efficiency.…”
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Numerical Approximations and Fractional Calculus: Extending Boole’s Rule with Riemann–LiouvilleFractional Integral Inequalities by Abdul Mateen, Wali Haider, Asia Shehzadi, Hüseyin Budak, Bandar Bin-Mohsin

“…These newly established inequalities offer sharper error bounds for various numerical quadrature formulas in classical calculus, marking a significant advancement in computational mathematics. Numerical examples, computational analysis, applications to quadrature formulas and graphical illustrations substantiate the efficacy of the proposed inequalities in improving the accuracy of integral approximations, particularly within the context of fractional calculus. …”
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Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation by O. Lamminpää, J. Susiluoto, J. Hobbs, J. McDuffie, A. Braverman, H. Owhadi

“…The retrieval, or solving an inverse problem, requires substantial computational resources. In this work, we propose and implement a statistical emulator to speed up the computations in the OCO-2 physics model. …”
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Advancements in mathematical modeling and numerical simulation: Immersed boundary method for Navier-Stokes equations applied to stationary and rotating isothermal cylinders by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales

“…To achieve this, a low computational cost C/C++ code (in terms of memory and computational resources) was developed. …”
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