Evaluation of commuter perception and optimization of public transit routes in Hyderabad using TOD applications by Sania Rehman, Mir Aftab Hussain Talpur, Ali Raza Khoso, Imtiaz Ahmed Chandio, Furqan Javed Arain

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Advanced Handover Optimization (AHO) using deep reinforcement learning in 5G Networks by T. Senthil Kumar, Mardeni Roslee, J. Jayapradha, Yasir Ullah, Chilakala Sudhamani, Sufian Mousa Ibrahim Mitani, Anwar Faizd Osman, Fatimah Zaharah Ali

“…The proposed model contributes a scalable, learning based optimization strategy applicable to systems of future generation wireless communication.…”
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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

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Joint Optimization of the 3D Model and 6D Pose for Monocular Pose Estimation by Liangchao Guo, Lin Chen, Qiufu Wang, Zhuo Zhang, Xiaoliang Sun

“…And the correction values of the 3D landmarks and the 6D pose are parameters to be solved in the optimization problem. By solving the optimization problem, the joint optimization of the target’s 3D model and the 6D pose is realized. …”
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Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…To capture the complex, long-range dependencies in production processes, heterogeneous attention graph neural networks are used to capture the long-range dependencies in production links, combined with an adaptive greedy sampling strategy for optimizing scheduling decisions. Additionally, the Proximal Policy Optimization algorithm is adopted to train a hybrid scheduler, facilitating deep collaborative decision-making for both production processes and energy scheduling. …”
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Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

“…EASSO incorporates adaptive strategies and enhanced exploration–exploitation mechanisms, enabling more efficient convergence during the training of the DNN. …”
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Analytical Approximation-Based Approach for Passenger Flow Control Strategy in Oversaturated Urban Rail Transit Systems by Qian Zhu, Xiaoning Zhu, Pan Shang, Lingyun Meng

“…To further provide an integrated optimization framework from both the supply and demand sides, we extend the abovementioned passenger flow control optimization model into an integrated mixed-integer nonlinear programming model to jointly optimize the passenger-flow control strategy and train frequency setting. …”
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Intensive Blood Pressure Strategy on Cardiovascular Diseases in Patients With Metabolic Syndrome: Post Hoc Analysis of a Clinical Trial by Guozhe Sun, Xiaofan Guo, Guangxiao Li, Pengyu Zhang, Yangzhi Yin, Lixia Qiao, Ning Ye, Chang Wang, Songyue Liu, Danxi Geng, Wei Miao, Ziyi Xie, Yao Yu, Zhi Li, Xiaoqiong Jiang, Xiangyu Tan, Yingxian Sun

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Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy

“…To address these challenges, we propose a novel integration of the Ninja Optimization Algorithm (NiOA) for simultaneous feature selection and hyperparameter optimization, aimed at enhancing both predictive accuracy and computational efficiency. …”
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Influencing factors and prevention optimization of shallow shale gas inter-well frac-hits by Ming JIANG, Qingteng ZOU, Zhuang XIAO, Yong WANG, Jingnan GE, Zhao CHEN

“…The proposed well spacing optimization strategy supports well location deployment and fracturing parameter optimization in the Zhaotong shallow shale gas field, validating the research results.…”
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Effect of Central Pattern Generators Depended Different Walking Strategies on Gait Ability of Patients after Stroke by Hua WU, Zaihua RU, Congying XU, Xudong GU, Jianming FU

“…Objective:To investigate the effects of central pattern generators (CPG) based different walking strategies on gait ability and the fMRI appearance of patients after stroke, make sure that the effective connection in which CPG based different walking strategies could promote neural network recovery, and optimize the intervention strategies of gait reconstruction for stroke patients.Methods:Twenty stroke hemiplegic patients were randomized into the treatment group and the control group, ten patients for each group. …”
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Article RETRACTED due to manipulation by the authors Nutritional Strategies for Rapid Recovery in Sport: A Literature Review by fadli Ihsan, Zhanneta Kozina, Sukendro Sukendro, Ahmad Nasrulloh, Rezha Arzhan Hidayat, satya Perdana

“…Micronutrients such as vitamins, minerals and antioxidants also play a role in reducing inflammation and accelerating recovery. Optimal nutrition strategies include the adoption of a balanced diet, consumption of specific nutritional supplements, and good hydration management. …”
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COMMUNICATION STRATEGY OF CORRECTIONAL GUARDIANS IN SHAPING THE SELF-CONCEPT OF CHILD PRISONERS AT LPKA CLASS I TANGERANG by Dimas Mukhtar, Ali Muhammad

“…Keywords : Communication Strategy; Self-Concept; Child Prisoners; Correctional Guardians …”
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RICE MILLING WASTE MANAGEMENT STRATEGY IN REALIZING A CIRCULAR ECONOMY BASED ON A GREEN ECONOMY by Elis Zunita Anzar Wati, Syuhada’ Syuhada’, Ahmad Munir Hamid

“…The results of the study indicate that there is a great opportunity for the development of community-based waste management innovations, such as the use of husks as alternative fuels and the processing of bran into animal feed. The recommended strategies include strengthening local institutions, waste management training, and collaboration with the private sector and government. …”
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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

“…The novelty of this study lies in using evolutionary AI algorithms to not only predict floods more accurately but also optimize flood management strategies. The ANN was trained with geographical data on eight flood-impacting factors, including elevation, rainfall, slope, NDVI, aspect, geology, land use, and river data. …”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) with an irregularly changing pareto set. …”
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Implementasi Strategi Pembelajaran Berdiferensiasi pada Pembelajaran Sejarah di SMA Negeri 16 Kota Bandung by Aldi Cahya Maulidan, Didin Saripudin, Nana Supriatna

“…Support from the school in providing facilities and training for teachers also contributes to the success of the implementation of differentiated learning. …”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…We address this limitation by formulating exclusionary reasoning-the human practice of asking “Should I optimize?” before acting-as an explicit decision layer in the code-optimization pipeline. …”
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A Novel Reactive Power Sharing Control Strategy for Shipboard Microgrids Based on Deep Reinforcement Learning by Wangyang Li, Hong Zhao, Jingwei Zhu, Tiankai Yang

“…Unlike traditional methods which may use static or heuristically adjusted VI parameters, the DQN-VI strategy employs deep reinforcement learning to dynamically optimize these parameters, enhancing the microgrid’s performance under varying conditions. …”
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STRATEGI PROMOSI PENJUALAN ENTRANCE TICKET DALAM KONDISI LOW SEASON DI PURA LUHUR ULUWATU by Nova Irma Suryani Samosir, NPE. Mahadewi, LGLK. Dewi

“…The strategies formulated within the SWOT analysis include leveraging technology to showcase the scenic beauty, utilizing technology for public relations, provide training to working staff, offering discounts through social media, marketing the temple on online booking platforms, and providing special promotions for online bookings. …”
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