An Integrated Framework for Zero-Waste Processing and Carbon Footprint Estimation in ‘Phulae’ Pineapple Systems by Phunsiri Suthiluk, Anak Khantachawana, Songkeart Phattarapattamawong, Varit Srilaong, Sutthiwal Setha, Nutthachai Pongprasert, Nattaya Konsue, Sornkitja Boonprong

“…By demonstrating practical value addition and spatially explicit carbon monitoring, this study shows how integrated circular and geospatial strategies can advance sustainability and market competitiveness for the ‘Phulae’ pineapple industry and similar perennial crop systems.…”
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A hybrid encryption algorithm based approach for secure privacy protection of big data in hospitals by Wei Li, Qian Huang

“…The average correlation coefficient of encrypted hospital big data is only 0.0576, and the RL curve value is low and gentle. The encrypted data has good scrambling effect and low privacy leakage probability, which ensures the confidentiality and integrity of medical data in the transmission process.…”
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…This study introduces a novel Particle Swarm Optimization-based Permeability Integrated Prediction model (PSO-PIP), which incorporates a particle swarm optimization algorithm enhanced with dynamic clustering and adaptive parameter tuning (KGPSO). …”
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Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems by Feras Mohammed Al-Matarneh

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Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm by Yuchen Yan, Yanwen Zhu, Xian Yang, Lan Qiao, Chuping Wu, Zaizhan An, Qinglong Zhang, Ren Liu, Wang Guo

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Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm by Alok Kumar Shrivastav, Soham Dutta

“…The loss of power supply probability (LPSP) is reduced to 0.012, outperforming benchmark results from HOMER and Salp Swarm Algorithm (SSA), which reported LPSP values of 0.021 and 0.017, respectively. …”
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Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms by Chenhui Feng, Zhimiao Wei, Xiaohui Li, Xiaohui Li

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Visualization Analysis of Integrating College Sports Training and Psychology into Basketball Physical Education Teaching System Based on Image Recognition Algorithm by Junzhang Cheng, Lingtao Wen, Baolei Zhang

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A New Subject-Sensitive Hashing Algorithm Based on Multi-PatchDrop and Swin-Unet for the Integrity Authentication of HRRS Image by Kaimeng Ding, Yingying Wang, Chishe Wang, Ji Ma

“…Transformer-based subject-sensitive hashing algorithms exhibit good integrity authentication performance and have the potential to ensure the authenticity and convenience of high-resolution remote sensing (HRRS) images. …”
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Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm by Bangli Yin, Xiang Liao, Beibei Qian, Jun Ma, Runjie Lei

“…By comparing its simulation results with those of five other optimization algorithms, it is evident that the MOSCO algorithm outperforms the other five in terms of IGD, GD, HV, and Spread values. …”
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Image device identification and identity privacy protection method via integration of homomorphic encryption and PRNU fingerprints by ZHANG Pinchang, SHEN Yuanzhang, FAN Weibei, DONG Zhenjiang, SHEN Yulong, JIANG Xiaohong, XIAO Fu

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Dietary Recommendation Based on Multi-objective Optimization Integrating Nutritional Knowledge and Preference-Health Balance by JIN Ying, MIN Weiqing, ZHOU Pengfei, MEI Shuhuan, JIANG Shuqiang

“…We proposed a dietary recommendation method based on multi-objective optimization integrating nutritional knowledge and preference-health balance. …”
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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

“…TitleAdvanced Diagnosis and Forecasting of Pregnancy-Induced Hypertension in Obstetrics and Gynecology Education through the Integration of Genetic Algorithms.BackgroundPregnancy-induced hypertension represents a critical issue within the fields of obstetrics and gynecology, where precise diagnosis and forecasting are essential for effective management. …”
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Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms by Shahnawaj Shahnawaj, Saurabh Chanana, Ravinder Singh Bhatia

“…This research article describes the frequency regulation of an interconnected power system that includes wind energy systems and thermal non-reheat systems, with a proportional integral derivative (PID) controller optimized using metaheuristic algorithms such as Genetic-Algorithm (GA), Harmony-Search-Algorithm (HSA), Bat-Algorithm (BA), and Flower-Pollination-Algorithm (FPA). …”
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VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations by Mingyuan Li, Duan Wang, Erick Purwanto, Thomas Selig, Qing Zhang, Hai-Ning Liang

“…The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. …”
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Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning by Yihan Zheng, Zhuanji Fang, Xizhu Wu, Huale Zhang, Pengming Sun

“…Abstract Purpose This study aimed to identify novel biomarkers for preeclampsia (PE) diagnosis by integrating Weighted Gene Co-expression Network Analysis (WGCNA) with machine learning techniques. …”
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Integrating Social Sustainability into Supply Chain Design: Optimization of a Capacitated Two-Echelon Location-Routing Problem by Mohamed Nafea, Lamia A. Shihata, Maggie Mashaly

“…Multiple parent selection methods and crossover methods were tested, among other variables. The algorithm has proven its success in finding a near-optimum value when compared to the benchmark solution, with an error less than 0.05%. …”
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Intelligent Closed-Loop Fluxgate Current Sensor Using Digital Proportional–Integral–Derivative Control with Single-Neuron Pre-Optimization by Qiankun Song, Jigou Liu, Marcelo Lobo Heldwein, Stefan Klaß

“…This paper presents a microcontroller-controlled closed-loop fluxgate current sensor utilizing digital proportional–integral–derivative (PID) control with a single-neuron-based self-pre-optimization algorithm. …”
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Calculation method for mining subsidence combining probability integral method and SBAS-InSAR by DING Xingcheng, LI Peixian, KANG Xinliang, WANG Mingliang, ZHANG Tao, HAO Dengcheng

“…To address the issues of local optima and inaccurate edge subsidence predictions in the parameter inversion process of the mining subsidence probability integral method, the authors propose applying the dung beetle optimizer algorithm to invert probability integral method parameters and integrate SBAS-InSAR subsidence monitoring values to obtain comprehensive subsidence information for the mining area. …”
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UAV Path Planning Using a State Transition Simulated Annealing Algorithm Based on Integrated Destruction Operators and Backward Learning Strategies by Jianping Liu, Xiaoxia Han, Fengyi Liu, Jinde Wu, Wenjie Zhang

“…This study introduces a state transition simulated annealing algorithm that incorporates integrated destruction operators and backward learning strategies (DRSTASA) to address complex challenges in UAV path planning within multidimensional environments. …”
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