Optimized segmentation of overlapping cervical cells based on Mask2Former and denoising by Baocan Zhang, Wei Zhao, Chenxi Huang, Quan Lan, Weihong Lu

“…Especially, the masks predicted by our model are more precise than other methods and our previous models. Those results show that the proposed method could be effective in segmenting overlapping cells and help pathologists detect cell lesions.…”
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Optimization of Graphene Oxide’s Characteristics with TOPSIS Using an Automated Decision-Making Process by Javanbakht T.

“…The present study focuses on a new application of TOPSIS to predict and optimize graphene oxide’s characteristics. Although this carbon-based material has been investigated previously, its optimization with this method using an automated decision-making process has not been performed yet. …”
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Optimization of Platelet-Rich Plasma Fraction Selection for Surgical Treatment of Macular Holes by V. N. Kazaykin, N. S. Demchenko, A. Yu. Kleimenov

“…Materials and methods. This study presents the results of 120 cases of surgical treatment of eyes with macular hole. …”
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Optimizing development of anti-TNFα biosimilars based on 10 years’ experience by Cecil Nick

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Optimizing etiological diagnostics and improving the efficiency of treating centralized infectious corneal ulcers by V. V. Neroev, O. S. Slepova, L. A. Kovaleva, G. I. Krichevskaya

“…Purpose: to study the impact of human herpes viruses (HHV) on the development of infectious corneal ulcers (CU). Material and methods. 43 patients aged 21 to 77 with suspected corneal ulcers of bacterial etiology were examined. …”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…This survey presents a mathematically grounded analysis of edge detection’s evolution, spanning traditional gradient-based methods, convolutional neural networks (CNNs), attention-driven architectures, transformer-backbone models, and generative paradigms. …”
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Optimization of Wetland Environmental DNA Metabarcoding Protocols for Great Lakes Region Herpetofauna by Olivia M. Ruppert, Jared J. Homola, Jeannette Kanefsky, Alyssa Swinehart, Kim T. Scribner, John D. Robinson

“…The objective of this study was to design and optimize eDNA sampling and laboratory protocols for wetland herpetofauna. …”
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction by Lin Yue, Peng Wang, Jinchao Mu, Chen Cai, Dingyi Wang, Hao Ren

“…High-precision vertex coordinates of kilometer posts are obtained by jointly using LiDAR point cloud and an image detection box. Next, a kilometer post factor is constructed, and multi-source information is optimized within a factor graph framework. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…Abstract Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, and several DL and ML methods have been developed over the last decade. …”
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Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

“…Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. …”
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Optimization of brewing process and quality analysis of Vitis quinquangularis Rehd juice beer by GAN Huiting, YANG Jingjing, HAO Junguang, HOU Hui, PANG Tingcai

“…In addition, 17 kinds of amino acids, 18 kinds of organic acids, 9 kinds of monomer phenols and 37 kinds of volatile flavor substances were detected in the Vitis quinquangularis Rehd juice beer.ConclusionThe optimized Vitis quinquangularis Rehd juice beer has more rich and mellow taste than ordinary beer, and the addition of Vitis quinquangularis Rehd juice introduces rich amino acids, organic acids, monomer phenols and volatile flavor substances into beer, which has higher nutritional value.…”
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Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

“…［Objective］ To construct a comprehensive multi-temporal landslide inventory across the Eastern Himalayan Syntaxis and quantify landslide-driven erosion rates, thereby revealing the geomorphological significance of landslide processes in this region. ［Methods］ The Particle Swarm Optimization (PSO) algorithm was employed to detect the change of the Normalized Difference Vegetation Index (NDVI) from remote sensing images, and a multi-temporal landslide inventory for the Eastern Syntaxis from 1987 to 2021 was constructed. …”
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Age-optimized cut-off values for pubofemoral distances in screening for hip dysplasia by Hans-Christen Husum, Michel B. Hellfritzsch, Rikke D. Maimburg, Bjarne Møller-Madsen, Mads Henriksen, Natallia Lapitskaya, Søren Kold, Ole Rahbek

“…Aims: To establish cut-off values for lateral pubofemoral distance (PFD) measurements for detecting hip dysplasia in early (four days) and standard care (six weeks) screening for developmental dysplasia of the hip (DDH). …”
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Ensemble LVQ Model for Photovoltaic Line-to-Line Fault Diagnosis Using K-Means Clustering and AdaGrad by Peyman Ghaedi, Aref Eskandari, Amir Nedaei, Morteza Habibi, Parviz Parvin, Mohammadreza Aghaei

“…To this end, the present paper proposes a learning vector quantization (LVQ)-based ensemble learning model in which three LVQs are individually trained to detect and classify LL faults in PV arrays. The initial LVQ vectors are determined using the k-means clustering method, and the learning rate is optimized by the adaptive gradient (AdaGrad) optimizer. …”
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The Role of Sensor Technologies in Estrus Detection in Beef Cattle: A Review of Current Applications by Inga Merkelytė, Artūras Šiukščius, Rasa Nainienė

“…Furthermore, infrared thermography offers a non-invasive method for detecting body temperature fluctuations, allowing for more accurate estrus identification and optimized timing of insemination. …”
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Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning by Ting-Ruen Wei, Michele Hell, Aren Vierra, Ran Pang, Young Kang, Mahesh Patel, Yuling Yan

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Optimization, Characterization and Pharmacological Validation of the Endotoxin-Induced Acute Pneumonitis Mouse Model by Emese Ritter, Kitti Hohl, László Kereskai, Ágnes Kemény, Dóra Hargitai, Veronika Szombati, Anikó Perkecz, Eszter Pakai, Andras Garami, Ákos Zsembery, Zsuzsanna Helyes, Kata Csekő

“…Therefore, here we aimed to optimize, characterize, and validate this model with dexamethasone in mice. …”
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. by Nouman Butt, Muhammad Munwar Iqbal, Shabana Ramzan, Ali Raza, Laith Abualigah, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…The proposed framework outperforms existing methods, offering a robust and scalable solution for disease detection in citrus farming, contributing to more sustainable agricultural practices.…”
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Application of molecular genetic methods in rice breeding for cold resistance by E. V. Dubina, Z. K. Kizi Olimova

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