A Novel Numerical Treatment to One Dimensional Heat and Wave Equations with Second Order Accuracy by Muhammad Abid, Muhammad Shahid

“…This study aims to demonstrate solution behaviors and stability constraints for key one-dimensional parabolic and hyperbolic PDEs solved using second-order accurate methods under differing boundary conditions. The analysis employs finite difference techniques alongside multi-step Adams-Bashforth, Lax-Wendroff, CrankNicolson and Runge-Kutta time integration schemes for addressing heat (diffusion), wave (advection), and convection-diffusion equations over periodic and bounded domains. …”
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Fire Hawk Optimizer Adjusted Tri-Stage (1+PI)-PI-TID Cascade Controller for Automatic Generation Control of PSI by Moses Awal, Michael Robson Atim, Jimmy Nabende Wanzala, Johnes Obungoloch, Mohamed Barakat

“…The FHO draws inspiration from the foraging behaviors of whistling kites, black kites, and brown falcons, known for their unique prey-catching method involving fire propagation. Evaluation of the proposed FHO: (1+PI)-PI-T/PID scheme is conducted using the integral time multiplied absolute error (ITAE) criteria. …”
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Examining the levels of psychological support available to patients with haematological cancer in England: a mixed methods study by Eila Watson, Catherine Henshall, Jo Brett, Kate Robinson, Anke Ehlers, Paul Dawson, Graham P Collins, Tracy Mitchell-Floyd, Anya Aspinall, Catriona Gilmour-Hamilton

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Alternative disease management strategies for organic apple production in the United Kingdom by Lucas Alexander Shuttleworth

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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…Traditional change detection methods identify land-use and land cover variations over time, while image retrieval extracts pertinent information from large datasets. …”
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Research on the Method of Optimizing the Stress and Improving the Performance for MEMS Gyroscope Based on the Cantilever-Plate Structure by Yunbin Kuang, Xiaoyan Huo, Weitao Guo, Xiaoxing Li, Jiangyan He, Qiong Mao, Xiaolin Ma, Jie Liu

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FocusAugMix: A data augmentation method for enhancing Acute Lymphoblastic Leukemia classification by Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati, Takashi Obi, Joong-Sun Lee

“…Integrating Multi-Head Attention and Grad-CAM improves the accuracy and effectiveness of class representation in data augmentation methods for medical diagnosis.…”
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A Bayesian Method for Simultaneous Identification of Structural Mass and Stiffness Using Static–Dynamic Measurements by Zhiyong Li, Zhifeng Wu, Hui Chen

“…This paper presents a Bayesian-based finite element model updating method that integrates static displacement measurements and dynamic modal data to simultaneously identify structural mass and stiffness parameters. …”
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The impact of different weed control approaches on strawberry yield by Bjelošević Dragoslava, Delić Duška

“…Plant protection today is based on the principles of integrated plant protection. For many years, scientific research in the field of plant protection has been oriented towards the study of scientific foundations that are absolutely necessary for the successful implementation of integrated protection of plants against various harmful organisms. …”
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A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…This paper proposes a method for modeling and extracting key facial features by integrating global and local facial data. …”
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A novel XbaI multiplex PCR method for rapid typing of Klebsiella pneumoniae strains by Ibrahim Ali Al-Zahrani

“…Abstract This study focused on exploiting single-nucleotide polymorphism (SNP) variations in and around XbaI-restriction sites (5′….T↓CTAGA….3′) within the genomes of Klebsiella pneumoniae to develop a multiplex PCR genotyping technique that integrates the high discrimination of pulsed-field gel electrophoresis (PFGE) with the straightforwardness of a multiplex PCR-based procedure, for routine use in clinical laboratories. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Traditional radiation mapping methods often fail to accurately capture these complex variations, making the rapid and precise localization of radiation sources a significant challenge in emergency response scenarios. …”
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A Method for Estimating the SOH of Lithium-Ion Batteries Based on Graph Perceptual Neural Network by Kang Chen, Dandan Wang, Wenwen Guo

“…The accurate estimation of battery state of health (SOH) is critical for ensuring the safety and reliability of devices. Considering the variation in health degradation across different types of lithium-ion battery materials, this paper proposes an SOH estimation method based on a graph perceptual neural network, designed to adapt to multiple battery materials. …”
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An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal by Cong Feng, Qi Guo, Qian Liu, Feihong Jian

“…In this paper, the multi-stage dynamic benefit evaluation model was constructed by introducing time-of-use tariffs, periodic capacity pricing mechanism, and ancillary service revenue prediction based on machine learning and the multiple regression method. Sensitivity analysis was applied to explore the impact of key parameter variations on economic indicators. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Following this, we systematically categorize the existing object detection methods into four main approaches: (1) data enhancement-based ones, which enhance network robustness via augmentation of training datasets to account for weather variations; (2) point cloud denoising-based ones, which mitigate the effect of weather-induced noise via cleaning of raw point cloud data, thereby increasing detection accuracy; (3) domain adaptation-based ones, which use models trained under favorable weather conditions to guide the training of networks designed for adverse weather so as to enhance the model’s generalization ability; and (4) multisensor fusion-based ones, which enhance detection performance via integration of multimodal data from various sources, such as combining LiDAR with camera or radar. …”
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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…We integrate these point cloud segments into a global voxel map, updating each voxel’s class using color, distance constraints, and Bayesian methods to create an object-level instance map. …”
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A New and Tested Ionospheric TEC Prediction Method Based on SegED-ConvLSTM by Yuanhang Liu, Yingkui Gong, Hao Zhang, Ziyue Hu, Guang Yang, Hong Yuan

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Level and flow systems identification of an industrial processes module by LSOD method for PID controllers design by Luis Alberto Cantera-Cantera, Mario Cesar Maya-Rodríguez, Sergio Isai Palomino-Resendiz, Yair Lozano-Hernández, Luis Luna

“…Nowadays, regulation techniques are based on Proportional-Integral-Derivative (PID) controllers and their variations. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…To address these issues, we propose a multi-scale transformer-based diagnosis (MSTD) method for benign and malignant lung nodules. To handle significant variations in the shapes and sizes of the lung nodules, we first design a multi-scale module based on parallel branches to extract multi-scale features. …”
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A Novel Method for Holistic Collision Risk Assessment in the Precautionary Area Using AIS Data by Yu Zhong, Hongzhu Zhou, Manel Grifoll, Agustí Martín, Yusheng Zhou, Jiao Liu, Pengjun Zheng

“…Traditional collision risk assessment methods, such as distance to closest point of approach (DCPA) and time to closest point of approach (TCPA), often overlook environmental uncertainties and variations in human response. …”
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