Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review by Maryam Azam, Shah Khalid, Sulaiman Almutairi, Hasan Ali Khattak, Abdallah Namoun, Amjad Ali, Hafiz Syed Muhammad Bilal

“…Notable challenges include expanding summarization for complex tasks, multiple documents, multimodal user input, multi-format and multilingual data, refining the stopping criteria, and improving the evaluation metrics.…”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Abstract In the process of smart breeding, the rapid statistics of soybean emergence rate, as an important part of breeding screening, face challenges under environmental constraints, especially the selection and breeding of soybean varieties in dense environments. …”
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Optimized step size control within the Rosenbrock solvers for stiff chemical ordinary differential equation systems in KPP version 2.2.3_rs4 by R. Dreger, T. Kirfel, T. Kirfel, A. Pozzer, S. Rosanka, R. Sander, D. Taraborrelli, D. Taraborrelli

“…The latter is crucially dependent on the efficiency of the step size control. Our analysis indicates that the local error, which is the key factor for the step size selection, is often overestimated, leading to very small substeps. …”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

“…Apple yield estimation is a critical task in precision agriculture, challenged by complex tree canopy structures, growth stage variability, and orchard heterogeneity. …”
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Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

“…Using this model, the study identified a novel, larger window of optimal LPBF processing that allows for controllable complex phase transitions.…”
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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…Chatbots such as ChatGPT can promote interactive learning, allowing students to explore complex scientific concepts through personalized support and real-time feedback. …”
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Micro-Computed Tomography Analysis of Reciprocating Systems in Three-Dimensional Models of Mandibular Premolars with Two Canals by María Medina-Gil, Ana Martín-Díaz, Natalia Navarrete, José Aranguren, P. S. Ortolani-Seltenerich, Giulia Malvicini, Gaya C. S. Vieira, Alejandro R. Pérez

“…Clinically, these findings suggest that instrument selection should balance shaping efficiency with dentin preservation. …”
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Facilitating Decision-Making Processes in Packaging and Graphic Media: A Review of MCDM Methods from 2008 to 2024 by Şeyma Bozkurt Uzan

“…These tools simplify complex choices by evaluating multiple criteria, aiding in tasks like material selection and design optimization. …”
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IMSBA: A Novel Integrated Sensing and Communication Beam Allocation Based on Multi-Agent Reinforcement Learning for mmWave Internet of Vehicles by Jinxiang Lai, Deqing Wang, Yifeng Zhao

“…Within this framework, MAPPO leverages vehicle perception data to dynamically optimize V2V beam steering and frequency selection, while the Stackelberg game reduces computational complexity through hierarchical decision-making and optimizes the joint power allocation among V2V users. …”
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Use of drying methods in productive use of tomato fruit harvest by Nazarov Abdiqahhor, Murodbek Boltayev

“…In the agro industrial complex of our country, there are enough favorable conditions for the storage of vegetables, as well as their processing, and for the production of valuable environmentally friendly products from them. …”
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Optimizing Lecture Scheduling Using Genetic Algorithm: A Case Study at Universitas Riau by Reno Widi Respati, Dian Ramadhani

“…Genetic algorithms were selected due to their effectiveness in solving complex optimization problems and producing efficient solutions in a relatively short time. …”
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A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…To address the complex maneuvering characteristics of hypersonic targets in adjacent space, this paper proposes an LSTM trajectory estimation method combined with the attention mechanism and optimizes the model from the information-theoretic perspective. …”
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Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. by Afnan M Alhassan, Nouf I Altmami

“…Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images. …”
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Modified Index Policies for Multi-Armed Bandits with Network-like Markovian Dependencies by Abdalaziz Sawwan, Jie Wu

“…A key challenge arises from the fact that the underlying states governing each arm’s rewards remain hidden at the time of selection. To address this, we adapt traditional index-based policies and develop a modified index approach tailored to accommodate Markovian transitions and enhance selection efficiency for our model. …”
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Urban Hierarchy Migration Model and Impact Mechanism of Graduates Admitted to the Guangdong Provincial Civil Service Examination by Wu Jinghao, Liu Ye, Tang Honglin

“…The decision-making and selection process in the selection mechanism for the migration mode of newly recruited graduates in the civil service examination is complex and dynamic, involving the interaction of multiple factors, such as government policy guidance, job characteristics, personal factors, and urban conditions, with objective limitations, personal abilities and resources, and subjective willingness. …”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…In the past couple of years, deep learning algorithms have not only improved the classification performance in various disciplines (e.g., in image processing and natural language processing), but also reduced the complexity of feature extraction and selection processes. …”
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Identification of SSR marker linked to gynoecious loci in cucumber (Cucumis sativus L.) by ZHOU Shengjun, ZHANG Peng, ZHU Yuqiang, CHEN Xinjuan, CHEN Liping

“…The use of molecular markers for indirect selection of important agronomic characters, or marker-assisted selection (MAS) can improve the efficiency of traditional breeding. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…To address these issues, existing research primarily focuses on three directions: (1) optimizing the adaptive selection of grid parameters, which struggles to handle variations in cluster density; (2) improving grid division methods (e.g., multi-granularity or dynamic grids), which have limited effectiveness on complex-shaped data; and (3) integrating other clustering techniques, which enhances accuracy but increases algorithmic complexity. …”
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METHODOLOGICAL TOOLS FOR THE IMPLEMENTATION OF INFORMATION TECHNOLOGY FOR EXPERT ASSESSMENT OF THE QUALITY OF HEAVY AUTOMOBILE EQUIPMENT IN THE PROCESS OF ITS EXPLOITATION by Volodymyr Rudnytskyi, Amineh Hadi

“…The method of presentation and further implementation of a complex quality assessment model by means of fuzzy mathematics, which makes it possible to increase the efficiency of expert assessment, is described. …”
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DEVELOPMENT OF PERSPECTIVE ORGANO-HYBRID COMPOSITION BASED ON MODIFIED POLYACRYLONITRILE DURING REPAIR AND INSULATION OPERATIONS IN WELLS by A. S. Gumerova, R. N. Yakubov, L. E. Lenchenkova, D. A. Ilash

“…In justifying RIO technologies, primarily focuses on the selection of chemical reagents for the insulating screens formation in the reservoir flooded zones. …”
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