Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…Chromosomes representing points on an elliptic curve are initialized randomly, evaluated for their proximity to a predefined target point using a fitness function, and subjected to tournament selection to determine parents for the next generation. …”
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Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…In this article, with the goal of maximizing the total transmission rate and minimizing the total cost, a dual-objective optimization mathematical model for network selection and idle spectrum allocation is established in the context of comprehensive consideration of the diversity of spectrum resource attributes and the diversification of secondary users’ business needs. …”
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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

“…Criteria such as energy efficiency, environmental impact, cost and resource availability are considered, each characterized by its respective membership function. …”
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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…Improving the level of human resource management can make fuller use of human resources and realize the strategic goals of the enterprise. …”
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FORMALIZATION OF INNOVATIVE PROCESSES OF FOOD TECHNOLOGY EQUIPMENT by Panfilov V.A.

“…The technology formalization includes the following steps: function formulation, prototype selection; creation of a tree of structural prototype evolution; elaboration and detailing of elements of the 1st and 2nd stages; transformation into the technical solution; feasibility and admissibility control; optimization of parameters, experimental testing, sale of the experimental batch of products; assessment of the effect expected, control of the application field of the product.…”
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Collaborative Federated Learning of Unmanned Aerial Vehicles in Space–Air–Ground Integrated Network by Huibo Li, Peng Gong, Siqi Li, Weidong Wang, Yu Liu, Xiang Gao, Dapeng Oliver Wu, Duk Kyung Kim, Guangwei Zhang, Jihao Zhang

“…An optimization problem is proposed to minimize the total energy consumption and the loss function of local FL models. In order to solve the mixed integer nonlinear problem (MINLP), a data offloading selection strategy based on proximity discovery and an iterative method-based resource allocation algorithm (IRA) are proposed. …”
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Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

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Probing Cosmic Isotropy with the FAST All Sky H i Survey by Yi-Wen Wu, Jun-Qing Xia

“…We do not detect any statistically significant deviations from cosmic isotropy in the FASHI survey data.…”
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How to trace the origins of short-lived atmospheric species: an Arctic example by A. Da Silva, L. Marelle, J.-C. Raut, Y. Gramlich, K. Siegel, K. Siegel, S. L. Haslett, S. L. Haslett, C. Mohr, C. Mohr, J. L. Thomas

“…Knowing the exact modeled tracer emission sources in WRF-Chem enables a precise quantification of the source detection accuracy. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…Therefore, we propose a genetic algorithm-based quantitative deployment algorithm that generates deployment strategies for each service chain through a fitness function that quantifies response time and resource utilization. …”
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Innovations in combined cardiac-liver transplantation: robotic-assisted surgery and advanced organ preservation techniques by Tamer A. Addissouky

“…Additionally, innovations in organ preservation, such as ex vivo normothermic perfusion, offer the potential for improved graft function, particularly in high-risk patients. Ethical dilemmas arise in organ allocation, as combined transplants necessitate careful balancing of resource use and patient benefit. …”
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Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm by K. V. Dobrego, I. A. Koznacheev

“…In this case, the amount of wear (degradation) is determined by the integral of the function of the intensity of current wear over the battery life. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…The solution to constrained multi-objective optimization problems (CMOPs) requires optimizing the objective functions while satisfying the constraint conditions. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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Q-Learning Enabled Green Communication in Internet of Things by Mukesh Kumar, Sushil Kumar, Ankita Jaiswal, Pankaj Kumar Kashyap

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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…This was accomplished by calculating the detection efficiency and energy resolution through experimental measurements using standard gamma-ray sources and simulations using MCNP5. …”
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The dichotomy of human decision-making: An experimental assessment of stone tool efficiency. by David Nora, João Marreiros, Walter Gneisinger, Antonella Pedergnana, Telmo Pereira

“…In addition, it may be pertinent to extend this approach to other blunt artefactssuch as scrapers, burins, anvils, and hammerstones when investigating aspects of interconnected behaviours such as artefact variability, resource economy, group mobility, and site function. …”
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