Optimizing the Genomic Evaluation Model in Crossbred Cattle for Smallholder Production Systems in India by Kashif Dawood Khan, Rani Alex, Ashish Yadav, Varadanayakanahalli N. Sahana, Amritanshu Upadhyay, Rajesh V. Mani, Thankappan Sajeev Kumar, Rajeev Raghavan Pillai, Vikas Vohra, Gopal Ramdasji Gowane

“…This study aimed to optimize genomic evaluation models for crossbred cattle in South India. …”
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A study on determination of an optimized detector for single photon emission computed tomography by Mohammad Khoshakhlagh, Jalil Islamian, Mohammad Abedi, Babak Mahmoudian, Ali Mardanshahi

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Day-Ahead Scheduling of IES Containing Solar Thermal Power Generation Based on CNN-MI-BILSTM Considering Source-Load Uncertainty by Kun Ding, Yalu Sun, Boyang Chen, Jing Chen, Lixia Sun, Yingjun Wu, Yusheng Xia

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Dietary Sources and Nutrient Adequacy Potential of Local Foods among Children (6–23 Months) in Urban Slums of West Oromia (Ethiopia) by Wondu Garoma Berra

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Recent advancements in alternative energies, technological innovations, and optimization strategies for seaport decarbonization by Asif Raihan, Md Al Hasnat, Syed Masiur Rahman, Mohammad Ridwan, Md Masudur Rahman, Md Tasbirul Islam, Tapan Sarker, Bablu Kumar Dhar, ABM Mainul Bari

“…Port authorities are investigating methods to reduce carbon emissions to comply with increasing environmental standards. …”
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Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

“…This model will be helpful for blueberry breeders, enabling more efficient selection, and for growers, helping them accurately estimate optimal harvest windows. This open-source tool can potentially enhance research capabilities and agricultural productivity.…”
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Disinfection as a stabilization method for backwash water reuse by Małgorzata Wolska, Anna Solipiwko-Pieścik, Halina Urbańska-Kozłowska

“…Both analyzed disinfection methods allow for the recirculation of backwash water into the beginning of the water treatment process, yet physical disinfection requires larger investments and operating costs. …”
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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…A key contribution of this work is the integration of geospatial analytics into an interactive, open-source WebGIS environment—developed using Blender, QGIS, and Lizmap—to support predictive maintenance planning. …”
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Multi-peak light sources can improve the physical and mechanical properties of a zirconia- and diatomite-based dental resin: an in vitro study by Jucivaldo Martins Gonçalves, Thalles Arievo Mota Sales, Cauã Santiago Figueiredo, Rafael Pinto de Mendonça, Jefferson Pires da Silva Júnior, Tânia Mara da Silva, Sérgio Eduardo de Paiva Gonçalves, Hércules Bezerra Dias

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Assessment and Optimization of Hydrological Connectivity for Effective Management of Water Resources in the Samian Watershed by Zeinab Hazbavi, Nazila Alaei

“…Accordingly, increasing attention has been given to the structural and functional connectivity of river networks as the primary source of surface water supply, while this can be a potential watershed-scale management solution. …”
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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…This study proposes an optimized machine learning approach using Gradient Boosting Machine (GBM) and Adaptive Inertia Weight Particle Swarm Optimization (AIW-PSO) to predict heart failure survival. …”
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Development and research of the quadrupole mass spectrometry simulation model with the entire ion optics system by Lina Yang, Yuqing Gu, Hao Gong, Zi-long Liu, Xingchuang Xiong, Xiang Fang

“…To address the challenges posed by numerous optimization parameters and high time costs, the orthogonal experimental design method was employed, which remarkably enhanced the efficiency of parameter optimization and reduced the experimental time and cost. …”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…Given the increasing complexity as the problem size grows and the limitations of classical computing methods in addressing it, we study an approach that models the problem using QUBO and solves it applying quantum optimization algorithms. …”
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Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

“…This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. …”
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Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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Modeling a Green and Reliable Intermodal Routing Problem for Food Grain Transportation Under Carbon Tax and Trading Regulations and Multi-Source Uncertainty by Yan Sun, Chen Zhang, Ailing Chen, Guohua Sun

“…To overcome the model’s insolvability and the difficulty in finding the global optimum solution to a nonlinear optimization model, a two-stage solution method is developed, employing chance-constrained programming and linearization technique to reformulate the initial model. …”
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A simple 60‐pulse voltage source inverter using voltage reinjection strategy to improve voltage harmonics for high‐power local loads by Saeed Najafpour, Reza Ghandehari

“…Abstract The voltage reinjection strategy is an effective solution to improve the voltage quality of the voltage source inverters for high‐power applications. In this article, the fundamentals of voltage reinjection strategy are analyzed to reduce voltage harmonics of the output voltage. …”
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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

“…To address this gap, we developed PyIT2FLS, an open-source framework for creating both Type-1 and Interval Type-2 fuzzy logic models. …”
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Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits by Sergii Tykhovod, Ihor Orlovskyi

“…Comparing the application of various polynomials enables the selection of the optimal polynomial type. The proposed method has advantages over other known methods. …”
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Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Us... by Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich, Krischonme Bhumkittipich

“…The multi-objective functions enhance power quality and voltage stability to meet grid code requirements. The proposed method was applied to the IEEE 15-bus system, which is consistent with systems commonly used in remote area communities, under the following scenarios: Case I—random installation of PV-HPP-BESS and PI parameter control of BESS; Case II—optimal location of PV-HP-BESS and PI parameter control of BESS using IPSO; Case III—sudden short circuit of the transmission line in Case II. …”
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