Heuristics Algorithms for a Heterogeneous Fleets VRP with Excessive Demand for the Vehicle at the Pickup Points, and the Longest Traveling Time Constraint: A Case Study in Prasitsu... by Sasitorn Kaewman, Raknoi Akararungruangkul

“…We developed two metaheuristics—a differential evolution (DE) algorithm and an adaptive large neighborhood search (ALNS)—to solve the problem. …”
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An Improved Maximum Power Point Tracking Control Scheme for Photovoltaic Systems: Integrating Sparrow Search Algorithm-Optimized Support Vector Regression and Optimal Regulation fo... by Mingjun He, Ke Zhou, Yutao Xu, Jinsong Yu, Yangquan Qu, Xiankui Wen

“…However, achieving accurate tracking control while balancing overall performance in terms of stability, dynamic response, and robustness remains a challenge. …”
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Land Management Dynamics in Social Forestry Permit Using LandTrendr Algorithm: A Case Study in Tuar Tana Community Forest, East Nusa Tenggara Province, Indonesia by Heru Budi Santoso, Wahyu Wardhana, Ronggo Sadono

“…This study aims to investigate the dynamics of land management by monitoring the level of disturbance and recovery in social forestry areas before and after the permit using the LandTrendr algorithm and the Normalized Burn Ratio (NBR) index. …”
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Forecasting Blue and Green Water Footprint of Wheat Based on Single, Hybrid, and Stacking Ensemble Machine Learning Algorithms Under Diverse Agro-Climatic Conditions in Nile Delta,... by Ashrakat A. Lotfy, Mohamed E. Abuarab, Eslam Farag, Bilal Derardja, Roula Khadra, Ahmed A. Abdelmoneim, Ali Mokhtar

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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…The findings are particularly valuable for architects, urban planners, and policymakers seeking scalable, data-driven solutions to reduce energy consumption while maintaining thermal comfort.…”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…These problems have been addressed using deep reinforcement learning algorithms, such as the deep deterministic policy gradient (DDPG) algorithm. …”
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A web-based tool for predicting gastric ulcers in Chinese elderly adults based on machine learning algorithms and noninvasive predictors: A national cross-sectional and cohort stud... by Xingjian Xiao, Xiaohan Yi, Zumin Shi, Zongyuan Ge, Hualing Song, Hailei Zhao, Tiantian Liang, Xinming Yang, Suxian Liu, Bo Sun, Xianglong Xu

“…Objective Our study aims to employ machine learning algorithms to predict the occurrence of gastric ulcers and develop an online tool to assess the risk of gastric ulcers for elderly individuals, both currently and in the future, while identifying important predictors. …”
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Energy-Efficient Coverage Path Planning for a Reconfigurable Robot by W. K. R. Sachinthana, I. D. Wijegunawardana, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…The proposed method decides the reconfigurations to reduce energy usage while ascertaining the complete coverage, yielding an optimum coverage plan. …”
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Les mutations algorithmiques des politiques culturelles : critique de la percée de la catégorie de « découvrabilité » by Christophe MAGIS

“…This article analyses the recent emergence of the category of “discoverability” in several reports emanating from Francophone institutions. While cultural streaming platforms such as Netflix or Spotify dominate the digital distribution of audiovisual or musical productions, these institutions use this category to highlight the risks that these platforms’ recommendation algorithms pose for the possible invisibilization of French-speaking cultural content. …”
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Parametric Optimization Approach to Evaluate Dynamic Shading Within Double-Skin Insulated Glazed Units for Multi-Criteria Daylighting Performance in Tropics by Ali Ahmed Bahdad, Nooriati Taib, Fahad Saud Allahaim, Ali Mohammed Ajlan

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Faster computation of left-bounded shortest unique substrings by Larissa L. M. Aguiar, Felipe A. Louza

“…Experimental results with real and artificial datasets show that our algorithm is the fastest alternative in practice, being two times faster (on the average) than related works, while using a similar peak memory footprint.…”
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On the Validity and Benefit of Manual and Automated Drift Correction in Reading Tasks by Naser Al Madi

“…Drift represents a common distortion that affects the position of fixations in eye tracking data. While manual correction is considered very accurate, it is considered subjective and time-consuming. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

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Estimation of relative humidity in Hormozgan province using MODIS products by Masihollah Mohammadi, behrooz sobhani

“…The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. …”
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Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations by S. Tuozzolo, G. Lind, B. Overstreet, J. Mangano, M. Fonstad, M. Hagemann, R. P. M. Frasson, K. Larnier, P.‐A. Garambois, J. Monnier, M. Durand

“…Our results show that these discharge algorithms provide reliable discharge estimates on remotely sensed data at SWOT‐like spatial scales while highlighting the need for further algorithm sensitivity tests.…”
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Multicluster Distributed Optimization Strategy for Turbine Wake Environment by Zhenping Yu, Xinmeng Zhou, Yedong Huang, Kunyu Zhou, Guangming Cui, Juntian Qu

“…The experimental results demonstrate that the proposed algorithm can effectively improve the computational efficiency of wake optimization, while ensuring the effect of the wake optimization algorithm in actual wind farms as much as possible, which is more in line with the wake optimization needs of actual wind farms. …”
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Recommender systems may enhance the discovery of novelties by Giordano De Marzo, Pietro Gravino, Vittorio Loreto

“…Recommender systems are vital for shaping user online experiences. While some believe they may limit new content exploration and promote opinion polarization, a systematic analysis is still lacking. …”
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A Novel Linearly Complex Extended Signed Response-Based Node Authentication Scheme for Internet of Medical Things by Muhammad Saud Khan, Muhammad Sardaraz, Muhammad Tahir, Abdullah Alourani

“…The proposed framework utilizes a pre-distributed key embedded in a sensor node, while the authentication process employs a dual key-based algorithm with linear complexity. …”
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Identification of immune-associated biomarkers in diagnosing allergic rhinitis by Qi Cheng, PhD, Jie Fei, MS, Yuanfen Liao, MS, Hang Lin, MD, Yubao Cui, PhD

“…Additionally, 5 machine-learning algorithms were integrated to screen for novel diagnostic biomarkers for AR. …”
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