A Method for Polyp Segmentation Through U-Net Network by Antonella Santone, Mario Cesarelli, Francesco Mercaldo

“…Early detection of colorectal polyps through endoscopic colonoscopy is crucial in reducing colorectal cancer mortality. While automated polyp segmentation has been explored to enhance detection accuracy and efficiency, challenges remain in achieving precise boundary delineation, particularly for small or flat polyps. …”
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An Efficient Method for Offset Mitigation in Free-Space Optical Systems by Omar A. Saraereh, Imran Khan, Jeong Woo Lee

“…The proposed algorithm effectively mitigates the dc offset impact on the system and the BER is significantly improved while the MSE is reduced to 50% of the traditional state-of-the-art method. …”
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RP-HPLC Method Developed for the Determination of Metformin in Human Saliva by Nasir Ibrahim, Musa Aminu, Abdullahi Musa Ismail, Yusuf Amina Jega, Awwalu Salisu

“… Several extraction steps involved while analyzing metformin in plasma necessitates the need to develop a simple less tedious RP-HPLC method for metformin analysis in human saliva.Blank saliva (2 mL) was spiked with 2 mL solution (12.5 µg mL-1) of metformin and 1 mL solution (0.5 µg mL-1) of caffeine as internal standard (IS). …”
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Multi-Objective Optimization of Distributed Generation Placement in Electric Bus Transit Systems Integrated with Flash Charging Station Using Enhanced Multi-Objective Grey Wolf Opt... by Yuttana Kongjeen, Pongsuk Pilalum, Saksit Deeum, Kittiwong Suthamno, Thongchai Klayklueng, Supapradit Marsong, Ritthichai Ratchapan, Krittidet Buayai, Kaan Kerdchuen, Wutthichai Sa-nga-ngam, Krischonme Bhumkittipich

“…In the three-DG configuration, MOGWO achieved minimum power losses of 0.0279 MW and 0.0179 MW, and voltage deviations of 0.1313 and 0.1362 in the 33-bus and 69-bus systems, respectively, while eliminating voltage violations. The proposed method also demonstrated superior solution quality with low variance and faster convergence, requiring under 7 h of computation on average. …”
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PRICING EMPLOYEE STOCK OPTION USING TRINOMIAL TREE METHOD by Donny Citra Lesmana, Reza Tri Ahmad Ramadhan, Siti Nurjanah, Vanaya Syahira Dharmawan

“…The model is solved using the trinomial tree method, allowing for the consideration of three possible stock price movements: increase, unchanged, or decrease. …”
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Usability in learning management systems: A mixed-method analysis by Pembe Pelin Koca, Hakan Özcan

“…This study examines LMS usability through faculty perceptions at a state university, employing a mixed-methods design. Quantitative data were collected using the System Usability Scale (SUS) from 109 faculty members, while qualitative insights were gathered from semi-structured interviews with nine participants. …”
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Cross-Domain Communication Method Based on Load Balancing for SDNs by Xiaomao Wang, Yi Zhou, Feng Dan, Xian Yang

“…Therefore, the multi-domain control plane needs to consider more network resource states during the path selection, such as link weights, load saturation, and resource occupancy rates, in order to select the optimal paths to maximize the satisfaction of data plane requirements while maintaining network load balance. …”
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An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

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Optimal Treatment of Magnetic Seizure Therapy (MST) in Patients with Clozapine-Resistant Schizophrenia (CRS) by Xiang Q, Xu P, Zhai Z, Jia Y, Li C, Liu D

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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…The findings indicate that the optimal placement and coverage design of porous materials are essential for achieving the desired protective effects while minimizing material usage and overall mass. …”
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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

“…The mean square error, error covariance and error standard deviation of the bending strain data derived from the optimized solving process decreased from 0.007 0, 0.004 9, 0.070 2 to 0.001 2, 0.001 6, 0.012 6 respectively, while the coefficient of determination, indicating correlation, rose from 0.443 to 0.981. …”
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Determination method for trace polycyclic aromatic hydrocarbons in paddy soils by HE Mingjiang, SHEN Haoran, ZHA Ting, YU Xiongsheng, LIU Xingmei

“…The occurrence, source, transport and fate of PAHs in various environments have been reported extensively, while the determination method of PAHs varied in the past reports. …”
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Optimization and Evaluation of Conditions for Orthotopic Nude Mouse Models of Human Liver Tumor Cells by MENG Yu, LIANG Dongli, ZHENG Linlin, ZHOU Yuanyuan, WANG Zhaoxia

“…Objective The study aims to optimize the conditions for constructing orthotopic nude mouse models of liver cancer by injecting human liver tumor cell lines and to explore appropriate timings for drug administration. …”
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Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek, Lukas Prokop

“…This paper introduces the Improved Lyrebird Optimization Algorithm (ILOA) for optimal sectionalizing and scheduling of multi-microgrid systems, aiming to minimize generation costs and active power losses while ensuring system reliability. …”
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Optimal protamine dosing after cardiopulmonary bypass: The PRODOSE adaptive randomised controlled trial. by Lachlan F Miles, Christiana Burt, Joseph Arrowsmith, Mikel A McKie, Sofia S Villar, Pooveshnie Govender, Ruth Shaylor, Zihui Tan, Ravi De Silva, Florian Falter

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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…Comparative evaluations reveal that FODWO outperforms other state-of-the-art nature-inspired algorithms and traditional optimization methods, making it a highly effective tool for DOCR coordination in EPSs.…”
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Optimal spirometry thresholds for the prediction of chronic airflow obstruction: a multinational longitudinal study by Abby H.S. Lam, Sheikhah A. Alhajri, James Potts, Imed Harrabi, Mahesh Padukudru Anand, Christer Janson, Rune Nielsen, Dhiraj Agarwal, Andrei Malinovschi, Sanjay Juvekar, Meriam Denguezli, Thorarinn Gislason, Rain Jõgi, Vanessa Garcia-Larsen, Rana Ahmed, Asaad Ahmed Nafees, Parvaiz A. Koul, Althea Aquat-Stewart, Peter Burney, Ben Knox-Brown, Andre F.S. Amaral

“…Spirometry parameters were good at discriminating chronic airflow obstruction incidence (area under the curve 0.80–0.84), while respiratory symptoms performed poorly. The optimal z-score threshold was identified for pre-bronchodilator forced expiratory volume in 1 s to forced vital capacity ratio (FEV1/FVC) <−1.336, equivalent to the 9th percentile (sensitivity: 78%, specificity: 72%). …”
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Novel method for robust bilateral filtering point cloud denoising by Huan Yang, Wei Wang, Yue Wang, Peng Wang

“…Moreover, when compared to algebraic point set surfaces (APSS), robust implicit moving least squares (RIMLS), anisotropic weighted locally optimal projection (AWLOP), bilateral filtering, and guided filtering point cloud denoising algorithms, the proposed method consistently achieved the smallest MSE and the highest SNR in most cases on the dataset used in this study.…”
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A novel anthropometric method to accurately evaluate tissue deformation by Chongyang Ye, Xiaolu Li, Haiyan Song, Yu Shi, Ruixin Liang, Jun Zhang, Ka Po Lee, Zhaolong Chen, Beibei Zhou, Raymond Kai-Yu Tong, Kit-Lun Yick, Sun-Pui Ng, Joanne Yip

“…Moreover, a novel anthropometric method based on image recognition algorithms that systematically measures and evaluates tissue deformation while minimizing the impact of the effects of motion is proposed. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…Abstract A novel hybrid approach combining neighborhood component analysis (NCA) and metaheuristic optimization algorithms is proposed to improve the classification accuracy of electromyography (EMG) signals while reducing the feature set size and computational time. …”
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