A Two-Stage Location-Allocation Optimization Method for Fixed UAV Nests in Power Inspection Considering Node Failure Scenarios by Zheng Huang, Hongxing Wang, Yiming Tang, Feng Gao, Biao Du, Jia Wang

“…The problem is divided into two subproblems, each modeled as an integer linear programming (ILP) problem. The first subproblem identifies the minimal set of nodes for nest construction using the commercial solver Gurobi. …”
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Mitigation of Water-Deficit Stress in Soybean by Seaweed Extract: The Integrated Approaches of UAV-Based Remote Sensing and a Field Trial by Md. Raihanul Islam, Hasan Muhammad Abdullah, Md Farhadur Rahman, Mahfuzul Islam, Abdul Kaium Tuhin, Md Ashiquzzaman, Kh Shakibul Islam, Daniel Geisseler

“…Based on Pearson’s correlation matrix, a simple linear regression model was used to ascertain the relationship between unmanned aerial vehicle (UAV)-derived vegetation indices and the field-measured physiological characteristics of soybean. …”
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Focused review on applications of chalcone based compounds in material science by Rachel Alveera Menezes, C. N. Bhuvaneshwari, H. Venkatachalam, K. Subrahmanya Bhat

“…As the presence of this core has been very much prominent in different areas of material chemistry, herein, this review highlights the application of chalcones and their derivatives in the field of non-linear optics, polymer, and corrosion inhibiton. The presence of α–β unsaturated carbonyl group enables chalcone moiety to function efficiently as corrosion inhibitors. …”
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Harnessing unconventional monomers to tailor lignin structures for lignocellulosic biomass valorization by Yunjun Zhao, Muhammad Abid, Xinxin Xie, Yuelin Fu, Yuxiang Huang, Zhuoying Cai, Huana Lin

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Cars and Greenhouse Gas Goals: A Big Stone in Europe’s Shoes by Roberto Ivo da Rocha Lima Filho, Thereza Cristina Nogueira de Aquino, Anderson Costa Reis, Bernardo Motta

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Double machine learning and design in batch adaptive experiments by Li Harrison H., Owen Art B.

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Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

“…We propose a novel model, which integrates genetic, evolutionary and linear (GEL) feature selection techniques with a Random Forest (RF) classifier as GEL-RF model. …”
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Well Log Generation Based on Hybrid Ensemble Learning Model by WANG Xiaoyu, LIAO Guangzhi, XIAO Lizhi, HUANG Wensong, KONG Xiangwen, ZHAO Zibin

“…To supplement the missing well logs without increasing economic costs, this study develops an approach for generating well logs based on the hybrid ensemble learning model. This approach efficiently and intelligently completes the missing well logging curves. …”
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Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models by Salwa Saad, Etimad Fadel, Ohoud Alzamzami, Fathy Eassa, Ahmed Mohammed Alghamdi

“…This paper introduces a novel testing tool that leverages linear temporal logic (LTL) properties to detect runtime errors in hybrid MPI and OpenMP applications. …”
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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

“…To increase and enhance the efficiency of PV systems, maximum power point tracking (MPPT) technology is essential. …”
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Quantitative assessment of steel reinforcement effects on gamma-ray shielding in reinforced concrete using Monte Carlo simulations by Sanchit Saxena, Suman Kumar, Hrishikesh Sharma, Poonam Kumari

“…Through 576 Monte Carlo simulations across the 500–8000 keV gamma energy spectrum, we demonstrated that variations in reinforcement geometry at fixed steel percentages can alter linear attenuation coefficients (LAC) by up to 29 %, with optimized configurations enhancing shielding performance by 19 % over analytical predictions. …”
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Maglev Derived Systems: An Interoperable Freight Vehicle Application Focused on Minimal Modifications to the Rail Infrastructure and Vehicles by Jesus Felez, Miguel A. Vaquero-Serrano, William Z. Liu, Carlos Casanueva, Michael Schultz-Wildelau, Gerard Coquery, Pietro Proietti

“…The study analyses the Gothenburg–Borås railway in Sweden, a single-track, mixed-traffic line with limited capacity and slow speeds, where installing linear motors on uphill sections would allow freight trains to match the performance of passenger trains, even under challenging adhesion conditions. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…With the increasing prevalence of renewable energy, microgrids play a crucial role in enhancing distributed energy efficiency and system flexibility. However, the intermittent and unpredictable nature of renewable energy generation presents significant challenges for microgrid restoration and stable operation. …”
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Precision optimization of reactive squeezing flow in stratified fluids: A response surface exploration by Anum Shafiq, Tabassum Naz Sindhu, Muhammad Ahmad Iqbal

“…The non-linear governing system is solved numerically using the Runge–Kutta fourth-order method (RK-4) combined with the shooting technique. …”
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Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…In addition, a multi-linear perceptron block is designed to enhance the capturing of amplitude information and increase comprehension. …”
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Thermal performance analysis of magnetohydrodynamic Al2O3-SiO2-TiO2/water ternary hybrid nanofluid in converging and diverging channels with nanoparticle shape effects by C.M. Mohana, B. Rushi Kumar, Sunitha Nagarathnam, I.S. Shivakumara

“…The study aims to investigate the laminar flow dynamics of Al2O3-SiO2-TiO2/water hybrid nanofluids, emphasizing how the channel geometry affects the velocity, temperature distribution, and heat transfer efficiency. This understanding is crucial for optimizing industrial processes, such as cooling systems and heat exchangers. …”
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Total Outer-Independent Domination Number: Bounds and Algorithms by Paul Bosch, Ernesto Parra Inza, Ismael Rios Villamar, José Luis Sánchez-Santiesteban

“…This study introduces new lower and upper bounds for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>γ</mi><mrow><mi>t</mi></mrow><mrow><mi>o</mi><mi>i</mi></mrow></msubsup><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula> and presents an exact solution approach using integer linear programming (ILP). Additionally, we develop a heuristic and a procedure to efficiently obtain minimal TOIDS.…”
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Area-Efficient Variable-Gain Delta-Sigma Modulator Achieving 11.5-dB Dynamic Range Improvement by Sharing Capacitors in the First-Stage Integrator by Yeon-Tae Choi, Hong-June Park

“…This paper presents an area-efficient variable-gain delta-sigma modulator (VGDSM) that shares the sampling, feedback, and integrating capacitors in the first-stage integrator while maintaining a constant sum of their capacitance values. …”
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3.3-4.3 GHz efficient continuous class-F gallium nitride power amplifier based on simplified real frequency technique and harmonic tuning. by Md Golam Sadeque, Zubaida Yusoff, Mardeni Roslee, Shaiful Jahari Hashim, Azah Syafiah Mohd Marzuki, Jonathan Lees, Farid Zubir, Samir Salem Al-Bawri

“…The RFPA can obtain a maximum gain of 12.4 dB at 3.5 GHz. The linearity of the RFPA with a two-tone signal is measured and the value is less than -22 dBc all over the band.…”
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Evolutionary Cost Analysis and Computational Intelligence for Energy Efficiency in Internet of Things-Enabled Smart Cities: Multi-Sensor Data Fusion and Resilience to Link and Devi... by Khalid A. Darabkh, Muna Al-Akhras

“…When compared to the most recent and relevant protocols, including the Particle Swarm Optimization-based energy-efficient clustering protocol (PSO-EEC), linearly decreasing inertia weight PSO (LDIWPSO), Optimized Fuzzy Clustering Algorithm (OFCA), and Novel PSO-based Protocol (NPSOP), our approach achieves very promising results. …”
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