Results of the Study of Using the Experimental Sample of the Deep Ripper Tool on Overconsolidated Soil by Galina G. Parkhomenko, Igor V. Bozhko, Sergey I. Kambulov, Nikita V. Buzhinsky

“…It has been determined that the sweeps in the design of the tool must be installed not at a right angle to the rack in the transverse direction, but at an angle of soil chipping therefore land clearer is transformed into a chisel with gap expanders to improve the quality of cultivation and reduce energy costs. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT by P. V. I. N. Saparamadu, Samad Sepasgozar, R. N. D. Guruge, H. S. Jayasena, Ali Darejeh, Sanee Mohammad Ebrahimzadeh, B. A. I. Eranga

“…Frequent ambiguities in contract terms often lead to costly legal disputes and project delays in the construction industry. …”
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The Last-Mile Delivery of Heavy, Bulky, Oversized Products: Literature Review and Research Agenda by Bahram Alidaee, Haibo Wang, Lutfu S. Sua

“…<i>Background</i>: Last-mile delivery (LMD) is a challenging and costly supply chain process that involves direct customer interaction. …”
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Examining Marital Infidelity via Game Theory by Limor Dina Gonen, Tchai Tavor, Uriel Spiegel

“…It fills a theoretical gap while providing practical insights into marital behavior.…”
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Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

“…Abstract Artificial intelligence allows improvements in renewable energy systems by increasing efficiency while enhancing reliability and reducing costs. Renewable energy forecasting receives substantial improvement by applying deep learning methods as one of its promising approaches. …”
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Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework by Liuchang Xu, Jiajun Zhang, Chengkun Zhang, Xinyu Zheng, Zhenhong Du, Xingyu Xue

“…Traditional methods of data collection, being both labor-intensive and costly, have prompted researchers to turn to Volunteered Geographic Information (VGI) for the extraction of Geographical Named Entity (GNE).Notwithstanding, prior studies have predominantly concentrated on enhancing extraction accuracy, while often overlooking the critical aspect of GNE quality. …”
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Deep Reinforcement Learning for Dynamic Pricing and Ordering Policies in Perishable Inventory Management by Yusuke Nomura, Ziang Liu, Tatsushi Nishi

“…Finding optimal inventory management policies is essential since inefficient policies can lead to increased waste and higher costs. While many previous studies assume the perishable inventory is processed following the First In, First Out rule, it does not reflect customer purchasing behavior. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Future wireless systems with massive antennas must balance data rates and RF chain costs. Antenna selection activating only a subset of antennas addresses this challenge. …”
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Generation and L2 vocabulary learning: A classroom action study on the efficacy of the generation desirable difficulty in learning L2 vocabulary by John Duplice

“…While the study failed to demonstrate a clear benefit for the additional effort required by generation tasks, it did not identify significant costs from using generation on the specific population studied, as found in other studies. …”
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Investigating the Behavioral Adoption Intention of Mobile Government Services From the Value-Based Adoption Model Perspective by Isaac Kofi Mensah, Deborah Simon Mwakapesa

“…The findings indicate that perceived usefulness, enjoyment, technical aspects, and perceived costs directly influence the perceived value of m-government services. …”
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Exploring the Presence and Absence of Academic Discourse on Public Participation in the European Green Deal: A Central and Eastern European Perspective by Gyula Nagy, Soma Ádám Heiner, Zoltán Kovács

“…It was clear from the very beginning that the opportunities and costs of the ambitious green transition would be very uneven geographically, not only within the EU but also among its regions and locations. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…The defense strategies identified by our approach demonstrate that robust security protection can be achieved with optimal resource allocation, providing robust protection while minimizing implementation costs across the most critical vulnerabilities in the manufacturing network.…”
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A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method by Qiuxiang Tao, Ruixiang Liu, Xuepeng Li, Tengfei Gao, Yang Chen, Yixin Xiao, Huzhen He, Yunguang Wei

“…The proposed method allows for the acquisition of three-dimensional deformation data with fewer InSAR points and GNSS data, significantly reducing labor costs and addressing the gap in InSAR monitoring of three-dimensional surface deformation in densely vegetated areas. …”
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Electromagnetic Investigation of Innovative Stator–Permanent Magnet Motors by Mohammad Reza Sarshar, Mohammad Amin Jalali Kondelaji, Pedram Asef, Mojtaba Mirsalim

“…The proposed motors enhance the PM torque density significantly by about 115% compared to conventional motors and reduce the motor costs. A generalised decision-making process and thermal analysis are applied to the top-performing motors. …”
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Incidence of treatment for postabortion complications in India, 2015 by Rubina Hussain, Melissa Stillman, Susheela Singh, Chander Shekhar, Rajib Acharya, Ann M Moore

“…The paper fills an important gap by providing new evidence that can inform policy-makers and health planners at all levels and lead to improvements in the provision of postabortion care and legal abortion services—improvements that would greatly reduce abortion-related morbidity and its costs to Indian women, their families and the healthcare system.…”
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The effectiveness of a multi-domain electronic feedback report on the performance of quality indicators for chronic conditions: Protocol for a randomized controlled trial in genera... by Levy Jäger, Stefan Markun, Thomas Grischott, Oliver Senn, Thomas Rosemann, Jakob M Burgstaller

“…<h4>Background</h4>Chronic conditions are a significant public health concern due to their rising prevalence, association with high mortality, and substantial healthcare costs. General practitioners play a crucial role in managing these conditions, and quality indicators are essential tools for assessing the quality of care. …”
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Leveraging AlphaFold2 structural space exploration for generating drug target structures in structure-based virtual screening by Keisuke Uchikawa, Kairi Furui, Masahito Ohue

“…Computational virtual screening (VS) plays a vital role in early-stage drug discovery by enabling the efficient selection of candidate compounds and reducing associated costs. However, the absence of experimentally determined three-dimensional protein structures often limits the applicability of structure-based VS. …”
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Optimizing Parcel Locker Selection in Campus Last-Mile Logistics: A Path Planning Model Integrating Spatial–Temporal Behavior Analysis and Kernel Density Estimation by Hongbin Zhang, Peiqun Lin, Liang Zou

“…Existing PLC strategies prioritize operational costs over behavioral preferences, limiting their real-world applicability. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…Abstract Wireless Sensor Networks (WSN)-based Internet of Things (IoT) are made up of many tiny sensor nodes that are assigned specific tasks to sense, data process, communicate and control in predetermined areas. …”
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