A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In particle swarm optimization for complex optimization challenges, parameter selection significantly influences performance across various population states. …”
Get full text

Rethinking Technological Investment and Cost-Benefit: A Software Requirements Dependency Extraction Case Study by Gouri Ginde, Guenther Ruhe, Chad Saunders

“…Drawing upon two publicly available data sets, we compare decision-making based on 1) exclusively on accuracy and 2) on ROI analysis to provide decision support for the selection and usage of ML classification methods. As such, our results showed that, 1) chasing model accuracy improvisation through increased annotated data does not generate expected returns in traditional ML methods. 2) For complex ML algorithms, the need for larger annotated dataset investment cost is justified by the higher returns, however, the trade-offs between accuracy and ROI become evident.…”
Get full text

The Role of TGF-β Signaling Pathway in Determining Small Ruminant Litter Size by Ying Han, Guiling Cao, Wenting Chen, Changfa Wang, Muhammad Zahoor Khan

“…This improved the understanding of the genetic basis for prolificacy provides valuable insights for marker-assisted selection strategies aimed at enhancing reproductive efficiency in small ruminant breeding programs, with significant implications for improving livestock productivity and economic outcomes.…”
Get full text

Optimization of Lattice-Based Cryptographic Key Generation using Genetic Algorithms for Post-Quantum Security by Tara Nawzad Ahmad Al Attar, Rebaz Nawzad Mohammed

“…Through the evolutionary capacity of GAs, the proposed method optimizes lattice-based keys through selection, crossover, and mutation to ensure high entropy and computationally feasible with experimental results indicating that the GA-based method can cut down memory requirements and computational complexity, making it favorable for resource-constrained environments such as the Internet of Things and embedded systems. …”
Get full text

INTEGRAL ASSESSMENT OF WORK-RELATED ARTERIAL HYPERTENSION RISK FACTORS by S. A. Maksimov, A. E. Skripchenko, G. V. Artamonova

Get full text

Electric-field-induced assists in the preferential extraction of lithium from spent LiFePO4 by Shangpei Yong, Yan Lin

Get full text

Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain.   …”
Get full text

TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…The findings highlight the potential of integrating modern techniques to address complex, high-dimensional problems. By combining advanced prediction models and feature selection strategies, this study advances the reliability of climate forecasts and contributes to the development of effective adaptation and mitigation measures in response to climate change challenges.…”
Get full text

Impact of gut microbial diversity on egg production performance in chickens by Liping Wu, Tao Zhang, Zhihua Luo, Huiyuan Xiao, Di Wang, Cailong Wu, Xinyan Fang, Jiawei Li, Jing Zhou, Junjie Miao, Hongli Tan, Yanan Wang, Qing Liu, Jianhua Huang

“…High egg-producing chickens exhibit a higher abundance of specific bacterial taxa, such as Firmicutes and Proteobacteria, which are linked to enhanced nutrient absorption and metabolic efficiency. Conversely, lower and medium egg-producing chickens display greater microbial diversity, suggesting a more complex but less efficient gut ecosystem. …”
Get full text

Feasibility of rational constructive and technological parameters of organization options of multigroup shunting on the basis of simulation modeling by S. V. Karasev, D. A. Sivitskiy

“…The article deals with the problem of optimizing the design and technology of the shunting complex, specialized for a multigroup selection of cars. …”
Get full text

Process and Performance of Desulfurizing Thenardite Resource Utilization Based on Electrodialysis with Modified Ion Exchange Membranes by Jie ZHAO, Xiaofeng LIN, Wei ZHANG, Bo LI, Kai LI

“…Notably, after six testing cycles, the modified membranes exhibited excellent stability in ion selectivity and migration efficiency, meeting the requirements for long-term industrial operation. …”
Get full text

Comparative analysis of surface modeling in computer-aided design systems by A. A. Maiorov

“…The research focuses on evaluating their efficiency in creating complex components using surface modeling tools. …”
Get full text

Cooling Load Forecasting Method for Central Air Conditioning Systems in Manufacturing Plants Based on iTransformer-BiLSTM by Xiaofeng Huang, Xuan Zhou, Junwei Yan, Xiaofei Huang

“…First, the Pearson correlation coefficient is employed to select time-series variables that have a significant impact on cooling load. …”
Get full text

Rhizosphere-associated bacterial and fungal communities of two maize hybrids under increased nitrogen fertilization by Qing Liu, HongCui Dai, Hao Cheng, Guodong Shao, Liang Wang, Hui Zhang, Yingbo Gao, Kaichang Liu, Xiaomei Xie, Junhua Gong, Xin Qian, Zongxin Li

“…IntroductionThe selection and application of nitrogen-efficient maize hybrids have significantly bolstered contemporary food security. …”
Get full text

Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…However, significant challenges remain in managing large, complex satellite imagery datasets, acquiring specialized datasets due to high costs and labor intensity, including a lack of comparative studies for the selection of optimal deep learning models. …”
Get full text

Directions of the environmental protection processes optimization at heat power engineering enterprises by Hurets L. L., Kozii I. S., Miakaieva H. M.

“…The optimization of the environmental protection process involves the choice of the physical-chemical factors such as: thermodynamic, kinetic, mass- and heat-exchanging, hydrodynamic, influence parameters on the heterogeneous, complex systems. According to the results of the systems analysis of impact factors on the efficiency of environmental protection processes, it is suggested to optimize the cleaning equipment due to classified and structural parameters, which would allow design the systematic approaches to the selection of environmental protection equipment in future. …”
Get full text

SiAkif-Bots: Gemini AI for Academic Service Chatbots by Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman

“…To overcome this challenge, a Telegram-based chatbot, "SiAkif," was developed using the Large Language Model (LLM) model from Gemini AI. Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. …”
Get full text

Numerical and experimental analysis of muzzle brake thermo-mechanical load by Nenad Miloradović, Dejan Jevtić

“…A comparative analysis of the brake’s working cycle, with and without projectile movement, revealed that the presence of a projectile significantly affects the temperature distribution and the maximum brake and compensator forces during the movement period, while its influence on forces impulses and brake efficiency is much smaller. This type of numerical analysis enables better optimization of brake design parameters and material selection for improved resistance and erosion prevention.…”
Get full text

A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs by Syed Atir Raza Shirazi, Mehwish Shaikh

“…The results of this study demonstrate the potential of this method for improving the accuracy and efficiency of intrusion detection systems in real-world scenarios. …”
Get full text

Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part... by Angelos Klothakis, Ioannis K. Nikolos

“…This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations.…”
Get full text