A NOVEL DEEP LEARNING APPROACHES FOR MULTI-CLASS HISTOPATHOLOGICAL SUB-IMAGE CLASSIFICATION USING PRIOR KNOWLEDGE by Riyam Ali Yassin, Morteza Valizadeh, Alaa Hussein Abdulaal

“…Convolutional neural networks (CNNs) have shown significant promise in medical image analysis, aiding in the detection of cancer cells and the classification of histopathological images through advanced data processing techniques. …”
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A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing by Walid Abdallah Shobaki, Mariofanna Milanova

“…Using this dataset, we evaluated the performance of several computer vision algorithms across three key areas. For object detection, we implemented YOLOv8, SSD, and Faster R-CNN. …”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…Our experimental framework achieved 94.2% accuracy in early-stage PD detection, outperforming traditional clinical assessment methods. …”
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Optimizing the Design of Surface-Acoustic-Wave Ring Resonator by Changing the Interdigitated Transducer Topology by S. Yu. Shevchenko, D. A. Mikhailenko, B. Nyamweru

“…The finite element method and mathematical processing in AutoCAD and in COMSOL Multiphysics.Results. …”
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Transforming Microbiological Diagnostics in Nosocomial Lower Respiratory Tract Infections: Innovations Shaping the Future by Ingrid G. Bustos, Lina F. Martinez-Lemus, Luis Felipe Reyes, Ignacio Martin-Loeches

“…Although widely utilized, traditional culture-based techniques are hindered by prolonged processing times, limiting their clinical utility in timely decision-making. …”
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High-Precision Electrical Impedance Tomography for Electrical Conductivity of Metallic Materials by Shuanfeng Zhao, Yao Miao, Rongxia Chai, Jiaojiao Zhao, Yunrui Bai, Zheng Wei, Simin Ren

“…Metal materials are subject to deformation, internal stress distribution, and cracking during processing, all of which affect the distribution of electrical conductivity of the metal. …”
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Supervised and unsupervised machine learning approaches for tree classification using multiwavelength airborne polarimetric LiDAR by Zhong Hu, Songxin Tan

“…The adopted methods enable expeditious and accurate data processing and can be expanded to other classification applications.…”
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Machine Vision Applications for Welfare Monitoring in Aquaculture: Challenges and Opportunities by Amy Fitzgerald, Christos C. Ioannou, Sofia Consuegra, Andrew Dowsey, Carlos Garcia de Leaniz

“…We examined the practical applications of MV for welfare monitoring in aquaculture, the hardware and algorithms used for automated data collection, and the main challenges and solutions for data processing and analysis. The most common application of MV has been the estimation of size‐related metrics (growth, biomass) in fish, but key aspects of welfare, such as monitoring of parasites and disease or detection of stress‐related behaviours, are lagging behind. …”
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Open Source Sensor Interface for Soft Detectors in Surgical Simulators by Thomas Thurner, Roland Pruckner, Martin Kaltenbrunner, Andreas Schrempf

“…In this context, soft sensors enable low-cost position or force detection in haptically realistic synthetic tissue imitations to link the physical and virtual components of a patient phantom. …”
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Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…For perception and recognition, the review covers the evolution from traditional image processing to deep learning-based methods (e.g., YOLO and Mask R-CNN achieving a mAP > 90% in specific studies) for pepper detection, segmentation, and fine-grained cultivar identification, analyzing the performance and optimization in complex environments. …”
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Optimization of Expression Matching for String Matching by Tianlong Yang, Hongli Zhang

“…The experimental result shows that MaskVeri performs better than other programming realization.…”
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Optimization of Expression Matching for String Matching by Tianlong Yang, Hongli Zhang

“…The experimental result shows that MaskVeri performs better than other programming realization.…”
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Gradient Descent Algorithm with Greedy Repositioning Using Power Deficit Aggregation of Wakes to Accelerate the Offshore Wind Farm Layout Optimization Problem in Irregular Concessi... by Angel Gaspar Gonzalez-Rodriguez, Juan Manuel Roldan-Fernandez, Javier Serrano-Gonzalez, José Vicente Muñoz-Díez

“…When the optimization process ends, to avoid local maxima, it enters into a process of suppression of the set of locations that cause the greatest potential (power deficit). …”
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ClearFinder: a Python GUI for annotating cells in cleared mouse brain by Stefan Pastore, Philipp Hillenbrand, Nils Molnar, Irina Kovlyagina, Monika Chanu Chongtham, Stanislav Sys, Beat Lutz, Margarita Tevosian, Susanne Gerber

“…Furthermore, we present a use case of ClearFinder GUI for cross-analyzing the same samples with two cell counting tools, highlighting the discrepancies in cell detection efficiency between them. Conclusions Our easily accessible tool allows more researchers to implement the methodology, troubleshoot arising issues, and develop quality checks, benchmarking, and standardized analysis pipelines for cell detection and region annotation in whole volumes of cleared brains.…”
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Analysis and Discussion of Some Key Technical Problems for LWD Ultra-Deep Electromagnetic Resistivity Logging by JIN Ding, ZHU Jun, ZHOU John

“…The look-around DOD (Distance of Detection), look-ahead DOD and the bed boundary resolution are important technical specifications of these type of tools, so it is vital to solve some key technical problems for developing the tools and related processing software. …”
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SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy by Miguel Bhagubai, Christos Chatzichristos, Lauren Swinnen, Jaiver Macea, Jingwei Zhang, Lieven Lagae, Katrien Jansen, Andreas Schulze-Bonhage, Francisco Sales, Benno Mahler, Yvonne Weber, Wim Van Paesschen, Maarten De Vos

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Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…The research concludes with recommendations for future improvements, including the integration of artificial intelligence for anomaly detection, the use of digital twins for infrastructure behavior modeling, and cloud-based data processing for real-time decision support. …”
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Spontaneous and activation-induced apoptosis of peripheral blood mononuclear cells in the pathogenesis of type 1 diabetes mellitus by A. V. Lugovaya, N. M. Kalinina, V. Ph. Mitreikin, Yu. V. Emanuel, Yu. P. Kovalchuk, A. V. Artyomova

“…In addition, determination of cell sensitivity to apoptosis induction makes it possible to identify relations of pathological process to the enhancement or weakening of this sensitivity. …”
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Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil by Qing Xie, Dan Liu, Ying Zhang, Shuguo Gao, Tong Li, Xinjie Wang, Fangcheng Lü

“…Therefore, it is necessary to find new broadband signal processing methods to improve detection ability of the PD source. …”
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Monitoring the rate and variability of somatic genomic alterations using long-read sequencing by Xingyao Chen, Hagai Ligumsky, Charlie Ambrose, Denisse Sibrian, Brian Tran, Daoud Arif, Olga Castellanos, Darren Kessner, Hanyi Luo, Mukta Ubale, Abigail Coleman, Vaidhyanathan Mahaganapathy, Thomas J. Jönsson, Reva K. Basho, Jerry S. H. Lee, Naim Matasci, David B. Agus

“…Here we show that the number of somatic single nucleotide variants detected increases with their age and that for specific mutational processes, changes can be detected within months. …”
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