Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The following results were obtained. 1) The results of a comparative analysis of YOLOv8 and RT-DETR models for EO detection in the context of speed-accuracy trade-offs. 2) Recommendations for EO detection model configurations aimed at improving the efficiency of autonomous demining robotic systems, including optimal camera parameter selection. 3) Methods for improving EO detection model performance to increase its accuracy in complex environments, including synthetic data generation and confidence threshold tuning. …”
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An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

“…The continuous increase in urban population and scale makes the factors considered in the urban route network design increasingly complex. Contemporary public transportation network design problems are based more on efficiency goals such as the accessibility and comfort of the transportation network, which increases the difficulty of analyzing the problem. …”
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Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms by Rania Loukil, Wejden Gazehi, Mongi Besbes

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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…The ODT classifier introduces flexibility in decision boundaries, which enables it to capture complex linkages between biomedical data. The proposed MLSC model effectively handles high-dimensional, imbalanced lung cancer datasets using TCGA_LUSC_2016 and TCGA_LUAD_2016 modalities, achieving superior precision, recall, F-measure, and execution efficiency. …”
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Ship pipeline collaborative layout optimization based on EPA-star algorithm by Zhiyao YANG, Hongshuo ZHANG, Yan LIN

“…A method of branching point selection for branch pipelines considering the forbidden region is proposed which improves the quality and efficiency of the path design. …”
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High yield enrichment law for tight sandstone gas reservoir: A case study of the second member of Xujiahe Formation gas reservoir in Xinchang-Hexinchang gas field of western Sichua... by YAN Huanrong,ZHAN Zedong,LI Yajing,BI Youyi,DENG Meizhou,FENG Ying

“…The tight sandstone gas reservoirs of the Xujiahe Formation in the western Sichuan Depression of the Sichuan Basin are characterized by thick sand bodies, poor physical properties, strong heterogeneity, and complex gas-water distribution. These factors significantly challenge the development evaluation and productivity zone selection for this gas reservoir. …”
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Evaluation of the effectiveness of sliding redundancy of radioelectronic facilities by T. E. Gelfman, A. P. Pirkhavka

“…Practical recommendations on the selection of the redundancy mode are presented according to different reliability indices and constructed mathematical models of the sliding redundancy efficiency coefficients. …”
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Mold-glass interface adhesion mechanisms in precision glass molding by Hanhan Zhao, Liangchi Zhang

“…Precision glass molding (PGM) enables high-accuracy, efficient production of complex optical components, yet interfacial adhesion between mold and glass surfaces remains a significant barrier, impacting both quality and mold durability. …”
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TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…When faced with malicious requests, the system significantly reduces verification latency to an average of 0.0106 ms, ensuring rapid rejection and preserving network stability, while legitimate requests are processed efficiently with an average latency of 0.4125 ms.Experiments comparing latency-based and random-based relay selection methods across various network configurations (public-public, public-private, private-private) demonstrate that latency-based selection optimizes connection setup times in low-latency environments, while random-based selection provides robust performance in complex network scenarios. …”
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Optimizing Power Forecasting Models with Customized Features for Academic and Industrial Buildings by David Cabezuelo, Izar Lopez-Ramirez, June Urkizu, Ander Goikoetxea

“…These findings suggest that careful consideration of data frequency, features, and model selection is essential for optimizing power prediction, contributing to more efficient power management strategies in building operations.…”
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A paradigm shift in simulating affinity maturation to elicit broadly neutralizing antibodies by Fahsai Nakarin, Kayla G. Sprenger

“…This review reassesses affinity-based selection models and proposes a new paradigm that integrates multifactorial processes, including stochastic B cell decisions within GC dynamics, antigen extraction efficiency influenced by probabilistic bond rupture, and avidity-driven BCR binding alterations and representations on multivalent antigens. …”
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From Traditional Product Lifecycle Management Systems to Blockchain-Based Platforms by Mubashir Hayat, Herwig Winkler

“…However, these PLMs face certain challenges in managing the complex and decentralized product lifecycles. <i>Methods:</i> To this aim, this work investigates the currently implemented PLMs used in industries through the exploration of various software reviews and selection websites. …”
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Analysis of Queue Models in Simulation Applications by Abdullah Sevin, Durdali Atilgan, Göktuğ Yaman

“…The results indicate that model selection significantly impacts system efficiency, with certain models exhibiting superior performance under specific conditions. …”
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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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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…To solve this problem, genetic algorithm is used to fine-tune SVM model parameters, and multi-level SVM classification architecture is constructed to enhance the accuracy of emotion recognition. In the feature selection stage, ACO algorithm is introduced to explore the optimal combination of emotion features, aiming at improving the efficiency and robustness of emotion recognition. …”
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Molecular Markers and Cotton Genetic Improvement: Current Status and Future Prospects by Waqas Malik, Javaria Ashraf, Muhammad Zaffar Iqbal, Asif Ali Khan, Abdul Qayyum, Muhammad Ali Abid, Etrat Noor, Muhammad Qadir Ahmad, Ghulam Hasan Abbasi

“…The concepts of genetic diversity, QTL mapping, and marker assisted selection (MAS) are evolving into more efficient concepts of linkage disequilibrium, association mapping, and genomic selection, respectively. …”
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Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

“…In addition to that, the choice of relevant vocal features, in conjunction with the Chi-Square feature selection method, greatly enhanced the computational efficiency and classification performance. …”
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Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds by S. Adera, D. Bellugi, A. Dhakal, L. Larsen

“…Furthermore, hybrid models were relatively insensitive to PB model calibration and structural complexity, but sensitive to PB model variable selection. …”
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Research on Flexible Job Shop Scheduling Method for Agricultural Equipment Considering Multi-Resource Constraints by Zhangliang Wei, Zipeng Yu, Renzhong Niu, Qilong Zhao, Zhigang Li

“…An encoding/decoding method and a method for initializing a mixed population are introduced, which includes an operation sequence vector, machine selection vector, worker selection vector, and AGV selection vector. …”
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