Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
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Making Images Speak: Human-Inspired Image Description Generation by Chifaa Sebbane, Ikram Belhajem, Mohammed Rziza

“…The proposed system is trained on 200,000 image-caption pairs from the MS COCO train2014 dataset and evaluated on 50,000 held-out MS COCO pairs plus the Flickr8K benchmark. …”
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Analyzing the performance of biomedical time-series segmentation with electrophysiology data by Richard Redina, Jakub Hejc, Marina Filipenska, Zdenek Starek

“…Recent deep learning advancements offer solutions, showing various benefits and drawbacks in segmentation tasks. This study evaluates five segmentation algorithms, from traditional rule-based methods to advanced deep learning models, using a unique clinical dataset of intracardiac signals from 100 patients. …”
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Case Studies on Evacuation Elevator Systems in Supertall Buildings by Shiyu Huan, AYoung Yun, Ervin Cui

“…Since the requirements on means of egress in the codes in China and Korea follow similar concepts in the IBC, case studies of supertall buildings in China and Korea, where evacuation elevators were integrated into the overall egress strategy, are carried out to demonstrate the capability of evacuation elevators in achieving the IBC’s requirement for full evacuation within one hour. Using computer-based egress modeling, the study evaluates practical solutions for reducing evacuation times, exploring factors such as elevator capacity, speed, and coordination with traditional stairwell egress. …”
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Copula Modeling and Uncertainty Propagation in Field‐Scale Simulation of CO2 Fault Leakage by Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah E. Gasda, Sebastian Krumscheid

“…Faults and other complex geological structures introduce modeling challenges as their effects on storage operations are subject to high uncertainty. We present a computational framework for forward propagation of uncertainty, including stochastic upscaling and copula representation of multivariate distributions for a CO2 storage site model with faults. …”
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Application of the Non-Hermitian Singular Spectrum Analysis to the Exponential Retrieval Problem by D. J. Nicolsky, G. S. Tipenko

“…Any commonly used method could be then used to evaluate the frequency associated with the exponential. …”
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A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators by Beatriz Andres, Eduardo Guzman, Raul Poler

“…The goodness of the model is evaluated with the computational time and the deviation of the obtained results as regards to the optimal solution.…”
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Investigation and analysis on the current status of single-arm clinical trial with external control by Jia-Ning LIU, Ming-Yuan CAI, Lin-Bo LU, Jin-Hua SI, Ge LI, Feng SUN

“…Objective To study the progress of single-arm trials with external controls using bib-liometric methods and compare Chinese and foreign literature to understand research directions and trends.Methods We performed computer searches of five databases (PubMed, SinoMed, CNKI, Wan-fang and VIP) and obtained all single-arm trials with external controls published before July 21, 2021. …”
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In silico prediction of the action of bromelain on PI3K/Akt signalling pathway to arrest nasopharyngeal cancer oncogenesis by targeting phosphatidylinositol-4,5-bisphosphate 3-kina... by Alyaa Syafiqah Shamsuri, Edmund Ui -Hang Sim

“…The binding affinities of the docked complexes were evaluated using HawkDock, and the interactions were analysed with LigPlot+. …”
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A case of laparoscopic high anterior resection of rectosigmoid colon cancer associated with a horseshoe kidney using preoperative 3D-CT angiography by Naoki Kubo, Norihiko Furusawa, Shinichiro Imai, Masaru Terada

“…He was diagnosed with rectosigmoid colon cancer with multiple lung metastases and a horseshoe kidney on computed tomography (CT) scan. Three-dimensional (3D)-CT angiography showed an aberrant renal artery at the isthmus from 3 cm under the inferior mesenteric artery (IMA) branch of the aorta. …”
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DMCCT: Dual-Branch Multi-Granularity Convolutional Cross-Substitution Transformer for Hyperspectral Image Classification by Laiying Fu, Xiaoyong Chen, Yanan Xu, Xiao Li

“…Nevertheless, the high computational cost and inadequate local feature extraction hinder its widespread application. …”
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Comprehensive immunoinformatics and bioinformatics strategies for designing a multi-epitope based vaccine targeting structural proteins of Nipah virus by Shivangi Sharma, Pragya D. Yadav, Sarah Cherian

“…Additional in vitro and in vivo investigations are required to validate the computational observations.…”
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A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network by Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…Therefore, EE-YOLOv8 achieves the highest accuracy while maintaining the lowest parameter count and computational complexity among all analyzed algorithms. …”
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Performance analysis of an indoor visible light communication system using LED configurations and diverse photodetectors by Fayza M. Elamrawy, Ahmed Abd El Aziz, Salah Khamis, Hossam Kasem

“…Abstract This study evaluates the implementation and performance of a Visible Light Communication (VLC) system designed to transmit text data between two personal computers (PCs). …”
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Secure and efficient transciphering for FHE-based MPC by Diego F. Aranha, Antonio Guimarães, Clément Hoffmann, Pierrick Méaux

“…Recently, it has also been shown to be a fundamental component in the practical construction of HE-based multi-party computation (MPC) protocols, being used both for input data and intermediary results (Smart, IMACC 2023). …”
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Comprehensive performance and optimization of micro textured slipper pair of axial piston pumps by Ping Xu, Jing Luo, Yinghua Yu, Jiaxing Shen, Wenli Li

“…The influence of micro-texturing on the lubricant oil film of the slipper surface was evaluated using computational fluid dynamics (CFD) and experimental methodologies. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…In the modern era of computers, numerous disciplines are witnessing the development of massive data volumes. …”
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Piloting of virtual group education for diabetes in Cape Town: An exploratory qualitative study by Robert J. Mash, Joleen Cairncross

“…The feasibility of conducting the sessions via smartphone technology should be evaluated. Contribution: Demonstrates how digital technology could be used to develop new ways of empowering people with type 2 diabetes.…”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…Systematic graphical and statistical evaluations revealed that the Schmidt-Wenzel (SW) EoS was the most accurate among the conventional methods, with an average error of approximately 11%. …”
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A novel mathematical framework for pedigree-based calculation of Y-STR match probabilities by Amke Caliebe, Dion Zandstra, Arwin Ralf, Manfred Kayser, Michael Krawczak

“…While an upper limit to the match probability is easily calculated for the second group, it is computationally challenging to derive for the first. We therefore developed a mathematical framework that uses importance sampling to reconstruct and evaluate the Y-STR profiles of untyped members of the suspect’s pedigree by way of simulation. …”
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