Bulk Heterojunction Organic Solar Cell Area-Dependent Parameter Fluctuation by A. J. Trindade, L. Pereira

“…Device figures of merit were extracted from the equivalent circuit using a genetic-based algorithm, and their relationship with the active area was compared. …”
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AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference by Ki Tae Kim, Seok-Ju Im, Eui-Young Chung

“…In addition, we introduce a formal communication cost model to accurately quantify bottlenecks and a group optimization algorithm to systematically determine efficient group configurations. …”
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Adaptive Large Neighborhood Search Metaheuristic for the Capacitated Vehicle Routing Problem with Parcel Lockers by Amira Saker, Amr Eltawil, Islam Ali

“…The problem is resolved by ALNS algorithm, which outperformed the MIP model.…”
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Optimizing a Dynamic Vehicle Routing Problem with Deep Reinforcement Learning: Analyzing State-Space Components by Anna Konovalenko, Lars Magnus Hvattum

“…Our goal is to develop an application that can make real-time decisions to maximize total performance while adapting to the dynamic nature of incoming orders. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…Performance of the AML algorithms are extremely dependent to values of their hyperparameters. …”
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On-Site Safety Inspections Through Marker-Less Augmented Reality and Blockchain Notarization of BIM-Based Processes by Alessandra Corneli, Alessandro Carbonari, Francesco Spegni, Tommaso Pieroni, Berardo Naticchia

“…On-site outdoor localization is ensured by a GPS-RTK system, while for indoor spaces, an artificial intelligence algorithm that recognizes features is used. …”
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Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble by Pedro Conde, Rui L. Lopes, Cristiano Premebida

“…The merits of the proposed algorithm are shown through a series of representative experiments, leveraging two different neural network architectures and three different datasets against multiple state-of-the-art baselines.…”
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Folded Context Condensation in Path Integral Formalism for Infinite Context Transformers by Won-Gi Paeng, Daesuk Kwon, Kyungwon Jeong, Honggyo Suh

“…In this work, we present a generalized formulation of the Transformer algorithm by reinterpreting its core mechanisms within the framework of Path Integral formalism. …”
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Memory dependent modulation of hippocampal theta power through frontoparietal phase synchronous brain stimulation by Nina M. Ehrhardt, Jevri Hanna, Dayana Hayek, Robert Fleischmann, Ulrike Grittner, Axel Thielscher, Agnes Flöel, Daria Antonenko

“…To quantify hippocampal activity and connectivity, we performed subcortical source analyses of electroencephalography (EEG) data using a hierarchical subspace pursuit algorithm. While memory did not differ between tACS and sham conditions, we observed tACS-induced increases in hippocampal theta power and its connectivity in individuals with superior memory performance. …”
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Development of an enhanced base unit generation framework for predicting demand in free‐floating micro‐mobility by Dohyun Lee, Kyoungok Kim

“…Therefore, a novel base areal unit generation algorithm is proposed that employs a clustering approach to enhance the prediction accuracy in free‐floating micro‐mobility system demand. …”
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Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification by Neny Sulistianingsih, Galih Hendro Martono

“…Overall, this study highlights the importance of algorithm selection tailored to data characteristics and supports the use of ensemble learning to boost predictive reliability. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…Among these applications, predictive modeling for process optimization and enhanced ore sorting and classification stand out, with ANN being the most frequently employed algorithm. While challenges persist, such as limited data availability, non-normally distributed and non-linear data, and varying data dimensions and rates, the advantages of employing ML algorithms are undeniable. …”
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Deep Reinforcement Learning-Based Motion Control Optimization for Defect Detection System by Yuhuan Cai, Liye Zhao, Xingyu Chen, Zhenjun Li

“…Specifically, the TD3 algorithm, featuring a dual-critic structure, is employed to enhance control precision within predefined state and action spaces. …”
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Sentiment Analysis on Tabungan Perumahan Rakyat (TAPERA) Program by using Support Vector Machine (SVM) by Rizki Agam Syahputra, Riski Arifin, Suryadi ., Muhammad Iqbal

“…This study aims to analyze public sentiment towards the Housing Savings Program (TAPERA) using the Support Vector Machine (SVM) algorithm. The dataset comprises 16,061 reviews about TAPERA which was gathered from web scrapping and YouTube API. …”
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Unlocking the antimalarial potential of novel steroid-tetraoxane hybrids through consensus molecular docking and molecular dynamics investigation by Dipankar Nath, Abhijit Debnath, Malita Sarma, Rajesh Kumar Singh, Dipak Chetia

“…The dual pharmacophore mechanism—disrupting parasite cholesterol uptake via the steroid component while inducing oxidative stress through the tetraoxane moiety—offers a novel strategy to combat artemisinin resistance. …”
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

“…The objective is to maximize shipping company profits while considering profit volatility using the Conditional Value-at-Risk metric to master risks from demand fluctuations. …”
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Uninterrupted Connectivity Using Conditional Time Split Energy Extraction With Beamforming System for Disaster Affected Wireless Networks by K. Ashok, T. Sudha

“…A distributed BF system using Minimum Mean Square Error algorithm is jointly implemented at all cooperating nodes. …”
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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…The system loss is minimized while the operational constraints, including reverse power and voltage variation, are satisfied due to the optimal feeder reconfiguration. …”
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Model for evaluation of technical and economic indicators of offshore wind farms by D. Y. Davydov, S. G. Obukhov

“…The solution to this problem is possible by increasing efficiency while reducing costs as much as possible, which requires optimal design of offshore wind farms.GOAL. …”
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Models for a Fast Computation of Internal Overvoltages in Medium-Frequency Transformers by Bastian Korthauer, Jurgen Biela

“…Therefore, this paper presents an analytical approach to compute impedance and capacitance matrices for the equivalent networks, focusing on an efficient algorithm to compute the capacitance matrix as well as an appropriate length scaling of the calculated per-unit-length matrices. …”
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