Parallel Computing in Automation of Decoupled Fluid-Thermostructural Simulation Approach by Janine GLÄNZEL, Andreas NAUMANN, Tharun Suresh KUMAR

“…However, there is still scope for improvement in the reduction of time needed to train CDs. Parallel computation can be effectively utilized in decoupling approach in simultaneous execution of (i) CFD simulations and data export, and (ii) Clustering technique involving Genetic Algorithm and Radial Basis Function interpolation, which clusters and optimizes the training data for CDs. …”
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Pillar-X: Integrating Self-Learned Image Features to Improve 3D Object Detection by Mihaly Csontho, Andras Rovid

“…Comprehensive evaluations on the KITTI and CARLA-generated dataset demonstrate Pillar-X’s significant reduction in false positive detections, especially for the pedestrian and cyclist classes. …”
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Membangun Kepercayaan yang Berkelanjutan di Era Disruptif Komunikasi: Perspektif Media dan Komunikasi Digital by Agung Dharmajaya, Harmonis Minangkabawi

“…The data that has been collected is then analyzed in three processes, namely data reduction, data presentation and conclusion drawing. …”
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Integrated Ultrasound‐Enrichment and Machine Learning in Colorimetric Lateral Flow Assay for Accurate and Sensitive Clinical Alzheimer's Biomarker Diagnosis by Shuqing Wang, Yan Zhu, Zhongzeng Zhou, Yong Luo, Yan Huang, Yibiao Liu, Tailin Xu

“…The LFA device is integrated with a portable ultrasonic actuator to rapidly enrich microparticles using ultrasound, which is essential for sample pre‐enrichment to improve the sensitivity, followed by ML algorithms to classify and predict the enhanced colorimetric signals. …”
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A novel indoor localization method using passive phase difference fingerprinting based on channel state information by Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yili Hei, Xuhao Tang, Yan Yan

“…During the online phase, the algorithm trains a back-propagation neural network using the fingerprint data and determines the modelled mapping relationship between the fingerprint data and the physical localization after carrying out the phase difference correction and the principal component analysis–based dimensionality reduction. …”
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Presenting a Fuzzy Multiobjective Mathematical Model of the Reverse Logistics Supply Chain Network in the Automotive Industry to Reduce Time and Energy by Saeed Aminpour, Alireza Irajpour, Mehdi Yazdani, Ali Mohtashami

“…Deterministic methods, genetic algorithm, particle swarm algorithm, and several scenarios with different aspects have been used to solve the model. …”
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A novel machine learning model for perimeter intrusion detection using intrusion image dataset. by Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, Zubair Sharif, Boonsit Yimwadsana

“…This model utilizes the pre-trained InceptionV3 for feature extraction on PID intrusion image dataset, followed by t-SNE for dimensionality reduction and subsequent clustering. When handling high-dimensional data, the existing Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm faces efficiency issues due to its complexity and varying densities. …”
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Optimization of the Mixture Design of Low-CO2 High-Strength Concrete Containing Silica Fume by Seung-Jun Kwon, Xiao-Yong Wang

“…As abundant CO2 is released by high-strength concrete due to its high binder content, the reduction of CO2 emissions has become increasingly important. …”
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Shortcuts in multiple dimensions: the multiaxial racetrack filter by M.A. Meggiolaro, J.T.P. Castro, H. Wu

“…For uniaxial histories, the proposed algorithm exactly reproduces the classic racetrack filter. …”
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A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting by Pan Wu, Zilin Huang, Yuzhuang Pian, Lunhui Xu, Jinlong Li, Kaixun Chen

“…Results show that the proposed method outperforms other deep learning algorithms (such as recurrent neural network (RNN) and convolutional neural network (CNN)) in terms of both calculating efficiency and prediction accuracy. …”
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An Indoor Unknown Radio Emitter Positioning Approach Using Improved RSSD Location Fingerprinting by Liyang Zhang, Kunlei Liu, Zhiyou Pan, Lei Pan, Rui Gao, Qian Zhang

“…The results show that the proposed algorithm can obtain a more superior performance compared with the conventional RSSD-based weighted k-nearest neighbor algorithm (RSSD-WKNN) and COS matching algorithm (RSSD-PCA-COS) in the case of different selected RP numbers, AP numbers, and grid distances.…”
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A Modified Nearest Level Control Scheme for Improved Submodule Current Sharing in a CHB Converter with Integrated EDLCs by Viktor Döhlen, Kent Bertilsson

“…A modification of the sort and select algorithm to determine which submodule is to be inserted and bypassed when using the Nearest Level Control algorithm is proposed to distribute the activation time and the experienced RMS current of the submodules. …”
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A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers by Xu Xin, Tao Zhang, Cui Li, Yanran Liu, Lingyu Gao, Yuchuan Du

“…With governments worldwide emphasizing environmental protection and the global focus on carbon reduction, the battery electric vehicle (BEV) industry has developed rapidly. …”
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Operation strategy analysis for the passenger and freight shared transportation system by Zuoning Jia, Siyuan Yang, Kun An, Wanjing Ma

“…A customized heuristic algorithm is developed, incorporating a vector clustering method, a matching technique, and parallel computation. …”
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Construction of a minimizing sequence for the problem of cooling of the given segments of the rod with phase constraint by A.I. Egamov

“…The possibility of its reduction to a finite shortened system was demonstrated for the resulting countable system of differential equations. …”
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Rationale and study protocol of the MAMELI Cohort study (Mapping the Methylation of repetitive elements to track the Exposome effects on health: the city of Legnano as a Living lab... by Valentina Bollati, Federica Rota, Laura Dioni, Chiara Favero, Simona Iodice, Marta Gallazzi, Andrea Spinazzè, Giacomo Fanti, Davide Campagnolo, Tiago Nardi, Davide Biganzoli, Eva Dariol, Rachele Matsagani, Mirjam Hoxha, Paola Monti, Benedetta Albetti, Letizia Tarantini, Davide Barbuto, Ester Luconi, Giuseppe Marano, Giacomo Biganzoli, Roberta Biciuffi, Patrizia Boracchi, Domenico M Cavallo, Pilar M Guerrieri, Fabio Mosca, Stefano Gustincich, Giovanni Sanesi, Luca Ferrari, Michele Carugno, Silvia Fustinoni, Angela Cecilia Pesatori, Luca Pandolfini, Michele Miragoli, Andrea Cattaneo, Elia Biganzoli

“…The goal will be to develop a predictive algorithm (the MAMELI algorithm) that links the exposome to RE methylation status, creating a "RE methylation signature" reflecting the environmental impact on DNA methylation; iii) In this phase, the MAMELI algorithm will be applied to a separate cohort of 3,500 participants to compare the measured RE methylation signature with values predicted by the algorithm. …”
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Incidence, Disease Spectrum, and Outcomes of Tuberculous Meningitis in South African Children: The Initial Impact of COVID-19 by Victoria E. Namukuta, Mariette Smith, Danite Bester, Magriet van Niekerk, Regan Solomons, Ronald van Toorn, Hendrik Simon Schaaf, James A. Seddon, Helena Rabie, Mary-Ann Davies, Anneke C. Hesseling, Karen du Preez

“…An innovative surveillance algorithm was used to identify all possible TBM episodes using integrated electronic health data. …”
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AI-Assisted Pump Operation for Energy-Efficient Water Distribution Systems by Niuosha Hedaiaty Marzouny, Rebecca Dziedzic

“…The LLM-assisted framework was compared with a genetic algorithm optimization. The results demonstrated that the proposed method outperformed the GA, achieving an energy reduction of 66.98%.…”
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Panoramic video coding based on spherical distortion with spatio-temporal dependency by Xu YANG, Ce ZHU, Hongwei GUO, Lei LUO

“…The planar coding distortion, which affects objective quality, and spherical distortion, which affects subjective quality, as well as existing independent rate-distortion optimization techniques that fail to consider the temporal propagation of spherical distortion and its impact on coding performance, result in coding performance degradation.To address these issues, a spatio-temporal dependent spherical distortion model was proposed for optimizing panoramic video coding.Firstly, a spatial mapping model was proposed to map spherical distortions to coding distortions, aiming to align subjective and objective quality assessments.Secondly, a temporal propagation model for spherical distortions was introduced to enhance the overall coding performance of all coding units in the propagation chain.Finally, the coding parameters were adjusted by computing the weights for spatial mapping and temporal propagation of spherical distortions.Experimental results demonstrate that, under low-delay encoding configurations, compared to the VTM14.0, a state-of-the-art video coding benchmark, the proposed algorithm achieves an average bitrate savings of 7.4% (up to 22.1%) and reduction in coding time of 9%.…”
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Optimized actuator design for flapping-wing robots: A multi-objective approach to mimic natural flapping dynamics by Peiqi Li, Zhiwei Ai, Mufan Zhang

“…The optimization utilized the NSGA-II algorithm. Additionally, a virtual prototype with rigid-flexible coupling was created for simulation assessments pre- and post-optimization. …”
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