Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

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SIU-ICUD: Focal Therapy for PCa — The Technique by Lara Rodriguez-Sanchez, Thomas J. Polascik, Kara Watts, Peter Ka-Fung Chiu, Mark Emberton, Behfar Ehdaie, Hashim U. Ahmed, Andre Abreu, Ardeshir R. Rastinehad, Rafael Sanchez-Salas

“…To further optimize FT, research should prioritize evaluating the safety and effectiveness of different energy sources for various lesion locations, focusing on the treatment area rather than the energy modality itself.…”
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Potential of Natural Sheep Casings Waste as a Sole Nitrogen Source for the Marine Microalga <i>Scenedesmus rubescens</i> MDP19 Growth and Lipid Production by Sanaa Ouzakar, Nadia Skali Senhaji, Francesca Rigano, Cinzia Cafarella, Francesco Cacciola, Luigi Mondello, Jamal Abrini

“…The meat industry is one of the main sources of organic waste in the food processing sector. …”
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Effect of breed, sex, and age on the body and internal organ weight of chickens for food security in resource-poor communities of KwaZulu-Natal, South Africa by Thando Tenza, Thando Tenza, Lindokuhle Christopher Mhlongo, Cyprial Ndumiso Ncobela, Zikhona Rani

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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution by Changping Sun, Xiaodi Zhang, Wei Zhang, Jiahao Liu, Zubing Zou, Leying Li, Cheng Wang

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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…This study compares the effect of several feature selection methods, machine learning (ML) classifiers, and sources of radiomic features, on models’ performance for the diagnosis of clinically significant prostate cancer (csPCa) from bi-parametric MRI. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling by Ahmad Hussain, Mansoor Iqbal, Sheraz Aslam, Saad Alahmari, Abdulwahab Alkharashi

“…By integrating optimized DCP, ALE, and the Minimum Fusion Technique, the approach achieves superior performance with a PSNR of 35.45 dB and an SSIM of 0.97, outperforming existing methods such as Scene-Specific DCP, TON, and FFA_NET. …”
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Optimal State Estimation in Underwater Vehicle Discrete-Continuous Measurements via Augmented Hybrid Kalman Filter by Vadim Kramar, Kirill Dementiev, Aleksey Kabanov

“…The paper discusses, in detail, the theoretical foundations of the proposed method, including the mathematical description of continuous and discrete models, and its optimality criterion formulation. …”
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Optimalisasi Manajemen Sarana Prasarana dalam Meningkatkan Kualitas Pendidikan di SDN Banjaran 4 Kota Kediri by M. Ubaidillah Ridwanulloh, Iva Afifatur Rohmah, Nurul Qomariatus Sholikhah

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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

“…This paper presents an innovative method for operational planning of micro grids, focusing on improving economic performance and enhancing resilience. …”
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Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations. by Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

“…This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS). …”
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Optimization of Islamic Peer-to-Peer Lending for Micro and Small Enterprises (MSEs) After Pandemic of Covid-19 by Firsty Izzata Bella

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A Methodology for Registration of a Histological Slide and In Vivo MRI Volume Based on Optimizing Mutual Information by Charles R. Meyer, Bradford A. Moffat, Kyle K. Kuszpit, Peyton L. Bland, Paul E. Mckeever, Timothy D. Johnson, Thomas L. Chenevert, Alnawaz Rehemtulla, Brian D. Ross

“…The approach taken was to maximize mutual information in order to optimize the registration between all pairings of image data whether the sources are MRI, tissue block photograph, or stained sample photograph. …”
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Biosourcing and optimization of fungal lipase production from cheap agro waste via solid state fermentation by Gboyega E. Adebami, Bukola C. Adebayo-Tayo, Arindam Kuila, Benjamin A. Babalola, Moses A. Abiala

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Optimal Reactive Power Planning Using FACTS Devices for Voltage Stability Enhancement in Power Transmission Systems by Rawan Abu Zeitawyeh, Ayman Faza

“…Furthermore, combining both methods provides a significant improvement over their individual enhancements. …”
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Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts by Alexander Casilimas‐Peña, Karol Rosen, César Angeles‐Camacho

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Optimization of Remote Backup Protection Coordination Logic Based on Dynamic Identification of Faulty Components in Transmission Grids by LIN Xiangning, JI Jihao, DING Yifan, LI Zhengtian, WENG Hanli

“…For symmetrical faults， the traveling wave ranging error is less than 100 m， and the location time is reduced by 90% compared with traditional methods. After optimization， the remote backup-action delay was reduced from 4-7 intervals to 2 intervals， while the setting coverage increased by 18.4%， effectively avoiding misoperations owing to load intrusion. …”
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Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions by Elinor Ginzburg-Ganz, Eden Dina Horodi, Omar Shadafny, Uri Savir, Ram Machlev, Yoash Levron

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