Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The decentralized, open-source architecture of blockchain technology, exemplified by the Ethereum platform, has transformed online transactions by enabling secure and transparent exchanges. …”
Get full text

Extraction Process Optimization of Flavonoids from Lycium barbarum Root and Its Antioxidant and Hypoglycemic Activities in Vitro by Jiayi WEI, Lu LU, Lutao ZHANG, Bo JIN, Haoqi NING, Yanping LI, Jia MI, Yamei YAN

“…The optimization of the ethanol extraction method for Lycium barbarum root flavonoids was based on the total flavonoid content. …”
Get full text

Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology by Jiyou An, Yuanjie Du, Jianchun Yan, Hai Wei, Huanxiong Xie

“…The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. …”
Get full text

Optimizing yield properties of bitter melon (Momordica charantia L.) plant by integrative application of poultry manure by Gulsum Yaldiz, Mahmut Camlica, Deniz Dasdemir

Get full text

Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…This study talks about the methods for optimizing power usage and harnessing energy to improve efficiency within networks shown in 2 and 2.1. …”
Get full text

A bioprocess optimization study to enhance the production of Menaquinone-7 using Bacillus subtilis MM26 by Maneesha M, Subathra Devi C

“…The one factor at a time (OFAT) results showed that medium containing lactose, glycine, with a pH 7, a temperature of 37 °C, and an inoculum size of 2.5% (2 × 10⁶ CFU/mL) was optimal synthesis of MK-7. RSM indicated that incubation time, carbon and nitrogen sources were the factors significantly affecting the MK-7 yield. …”
Get full text

A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

“…Natural gas is an emerging and reliable energy source in transition to a low-carbon economy. The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoints to processing or consuming endpoints. …”
Get full text

Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…We introduced a novel optimization technique for both machine learning and deep neural networks, comparing its performance to established methods like the Jaya optimization technique and GridSearchCV. …”
Get full text

Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…With the high penetration rate of distributed photovoltaic access and the promotion of re-electrification and electrical energy substitution, the volatility of the system source and load is intensified, and the traditional distribution network planning methods are difficult to adapt to the requirements of the new power system development. …”
Get full text

BERTopic_Teen: a multi-module optimization approach for short text topic modeling in adolescent health by Yiqiang Feng, Ziao Chen, Yuxin Zhang, Wenyuan Huang, Xuanming Zhang, Siyu He

“…Adolescent health has become a critical dimension in the digital era, as social media platforms emerge as vital sources of real-time behavioral data for informing sustainable and equitable public health strategies. …”
Get full text

Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach by D. Rekioua, N. Mezzai, Z. Mokrani, A. Oubelaid, K. Kakouche, P. O Logerais, Muhannad Alshareef, Mohit Bajaj, Milkias Berhanu Tuka, Sherif S. M. Ghoneim

“…Abstract This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems’ optimization controllers operate MPPT strategies efficiently, optimizing the system’s overall performance. …”
Get full text

Optimization of medium components for the production of exopolysaccharide by Lycoperdon pyriforme Schaeff.: Pers. using response surface methodology by MA Xiaokui, JIANG Hua, LI Junzhi, CHEN Yong, HE Xiaojing

“…The concentration of EPS was measured by phenol-sulfuric acid method. For the optimization of medium components for enhanced EPS production, RSM was subsequently applied in this study. …”
Get full text

A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy by Gaiqiang Yang, Yuxin Su, Lijuan Huo, Dongpeng Guo, Yusi Wu

“…The research methodology integrates multi-objective optimization theory with the ideal point method to obtain optimization solutions. …”
Get full text

Optimization of Fiber Digestibility and Methane Reduction with Gambier Leaf Extract from Pangkalan for Sustainable Ruminant Farming by Roni Pazla, Asmuddin Natsir, Rahmad Hidayat, Nurzainah Ginting, Mardiati Zain, Antonius, Aslizah Mohd-Aris, Zaitul Ikhlas, M. Zhorif Hidayat

“…Ruminant livestock production plays an important role in providing animal protein sources, but faces major challenges in terms of feed utilization efficiency and environmental impact due to methane emissions. …”
Get full text

Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…Abstract The Software Defined Networking (SDN) method has evolved to project future systems and collect novel application needs for several years. …”
Get full text

Optimization and assessment of an integrated workflow for the isolation and proteomic analysis of small urinary extracellular vesicles (suEVs) by Yilan Hu, Jifeng Wang, Xiaoqing Qing, Tanxi Cai, Lili Niu, Xiang Ding, Zhensheng Xie, Mengmeng Zhang, Xiaojing Guo, Xiulan Chen, Fuquan Yang

Get full text

Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Photovoltaic (PV) technology, as a crucial source of clean energy, can effectively mitigate the impact of climate change caused by fossil fuel-based power generation. …”
Get full text

Optimization of Grassland Carrying Capacity with Grass Quality Indicators Through GF5B Hyperspectral Images by Xuejun Cheng, Maoxin Liao, Shuangyin Zhang, Siying Wang, Yiyun Chen, Teng Fei

“…The accurate estimation of grassland carrying capacity (GCC) in the alpine grasslands of the Changjiang River source region is crucial for managing livestock loads and ensuring ecological security on the Qinghai-Tibetan Plateau. …”
Get full text

Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

“…<b>Methods:</b> This research presents an innovative cancer classification technique that combines fast minimum redundancy-maximum relevance-based feature selection with Binary Portia Spider Optimization Algorithm to optimize features. …”
Get full text

DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. …”
Get full text