Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques by Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic

“…The proposed approach has a high potential to facilitate deployment, increase productivity, lower expenses, and minimize errors in robotic waste sorting while enhancing overall recycling and material utilization in the manufacturing industry.…”
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Optimal ensemble-based framework for ground-fault protection in radial MV distribution networks with resonant grounding by Boštjan Polajžer, Younes Mohammadi, Thomas Olofsson, Gorazd Štumberger

“…An ensemble of k-nearest neighbor classifiers is utilized for accurate classification, simulating the GFR operating conditions, with measurement errors and sensitivity incorporated in the preprocessing. …”
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Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images by S. Reka, T. Suriya Praba, Mukesh Prasanna, Vanipenta Naga Nithin Reddy, Rengarajan Amirtharajan

“…Furthermore, Convolutional Neural Network – ResNet 50, ResNet 101, VGG 16, VGG 19, AlexNet and Inception v3 have been implemented to diagnose PCOS promptly. …”
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Early Breast Cancer Detection Based on Deep Learning: An Ensemble Approach Applied to Mammograms by Youness Khourdifi, Alae El Alami, Mounia Zaydi, Yassine Maleh, Omar Er-Remyly

“…However, human interpretation of mammograms is often prone to diagnostic errors. This study addresses the challenge of improving the accuracy of breast cancer detection by leveraging advanced machine learning techniques. …”
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Benefits of medication charts provided at transitions of care: a narrative systematic review by Fine Michèle Dietrich, Kurt E Hersberger, Isabelle Arnet

“…We run our search from database inception up to March 2019. Studies of any study design, intervention and population which examined the effect of paper-based medication charts were included. …”
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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…However, traditional visual inspection methods are time-consuming and prone to errors due to artifacts and noise in dermoscopic images. …”
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Patient-Reported Incident Measure (PRIM) tools for reporting patient safety incidents: protocol for a scoping review by Mercè Soler Font, Ignacio Ferreira-Gonzalez, Ignasi Bolíbar, Maria Rubio-Valera, Merce Soler-Font, Víctor Quirós González, Karla Salas-Gama, Dimelza Osorio, Maria Nieves Plana, Julio Muñoz-Miguel, Maria Teresa Franco, Mariona Secanell-Espluga, Paula Fernández-Torres, Stefanie Suclupe, Daniel Torres-López, Alex Aisa Castillo, Adrià Almar, Emilien Amar Devilleneuve, Ignasi Bolibar Ribas, Alex Cano Velasco, Gonzalo Casans Gómez, Núria Castany Viñas, Maria Teresa Franco Romero, Cristina González Steinbauer, Clara María Grau Corral, Antoni Jesús Cruz Antolin, Susana Malgrat Caballero, Roser Martín Campos, Cristopher Alan Mazo Torre, Julio Muñoz Miguel, Rafael Manuel Ortí Lucas, Percy Efrain Pantoja Bustillos, Maria del Mar Pina Cobos, Maria Nieves Plana Farras, Aida Ribera Solé, Soledad Romea Lecumberri, Maria Rubio Valera, Alba Saa Casal, Anna Sala Cunill, Karla Salas Gama, Yuli Salvador Lodosa, Mariona Secanell Espluga, Stefanie Chriss Suclupe Obregon

“…Identifying and analysing patient safety incidents is essential to prevent future events, allowing organisations to apply a learning-from-error approach and to implement improvement plans. …”
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Applicability of the regression approach for histological multi-class grading in clear cell renal cell carcinoma by Mayu Shibata, Akihiro Umezawa, Saki Aoto, Kohji Okamura, Michiyo Nasu, Ryuichi Mizuno, Mototsugu Oya, Kei Yura, Shuji Mikami

“…Using convolutional neural network models (DenseNet-121 and Inception-v3), we found that regression models predict as accurately as classification models, achieving an accuracy of 0.990 at the highest, with fewer prediction errors by two or more grades. …”
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Efficacy of virtual reality techniques in cardiopulmonary resuscitation training: protocol for a meta-analysis of randomised controlled trials and trial sequential analysis by Jia Wang, Lu Zhang, Guo Chen, Li Du, Jianqiao Zheng, Xiaoqian Deng

“…Trial sequential analysis and modified Jadad Scale will be used to control the risks of random errors and evaluate the evidence quality. Egger’s regression test and funnel plots will be used to assess the publication bias.Ethics and dissemination Ethical approval was not required for this systematic review protocol. …”
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Wireless Authentication Method Based on Near-Field Feature Fusion Network by QIU Jiefan, ZHOU Kezhong, ZHU Dongfu, ZHANG Jinhong, CHI Kaikai

“…Initially, in the dynamic feature extraction module, an Inception-based WiFi Convolutional Network (IWCN) was employed to capture multi-scale spatial features across subcarriers. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…Conventional methods exclusively rely on human expertise, and are often labor-intensive, time-consuming, and prone to errors. Recent advancements in machine learning (ML) offer promising alternatives by automating the disease detection processes with high precision and efficiency. …”
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CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation by Jiapeng Duan, Chuanzhao Tian, Wansi Liu, Lixiang Cao, Teng Feng, Xiaomin Tian

“…In this model, the multiscale feature extraction capability of the InceptionV2 module is leveraged to compensate for U-Net’s limitation in capturing different scales of tree crowns and fine details using fixed convolutional kernels. …”
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CREATIVE CORE WITHIN THE SCIENTIFIC RESEARCH OF EDUCATIONAL PROBLEMS by Vladimir I. Zagvyazinsky, Alfia F. Zakirova

“…The creative core of research is characterised as its most difficult element including the inception of idea transformation, its realisation into some conception and expansion into productive hypothesis. …”
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Protocol for a systematic review with meta-analysis and trial sequential analysis of preventive interventions versus any control intervention for parents with a mental disorder on... by Emilie Hestbaek, Jeanne Kofoed, Jane Barlow, Anne Amalie Elgaard Thorup, Michelle Sleed, Sebastian Simonsen, Anna K. Georg, Mette Skovgaard Væver, Sophie Juul

“…To identify relevant trials, we will search for published trials in several electronic databases from their inception to the present. We will also search for unpublished trials and grey literature. …”
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A Cascaded Network With Coupled High-Low Frequency Features for Building Extraction by Xinyang Chen, Pengfeng Xiao, Xueliang Zhang, Dilxat Muhtar, Luhan Wang

“…However, previous studies have solely relied on either low- or high-frequency features, leading to errors such as omissions or internal holes in the detected buildings at various scales. …”
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Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning by Yi-Cheng Mao, Yuan-Jin Lin, Jen-Peng Hu, Zi-Yu Liu, Shih-Lun Chen, Chiung-An Chen, Tsung-Yi Chen, Kuo-Chen Li, Liang-Hung Wang, Wei-Chen Tu, Patricia Angela R. Abu

“…Traditionally, dentists rely on visual examinations to diagnose caries under restoration and dental braces, which can be prone to errors and are time-consuming. This study proposes an innovative deep learning and image processing-based approach for automated caries detection under restoration and dental braces, aiming to reduce the clinical burden on dental practitioners. …”
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Administration of dehydroepiandrosterone improves endometrial thickness in women undergoing IVF/ICSI: a systematic review and meta-analysis by Ling Huang, Ying Gao, Shuo Liang, Mei Jiang

“…Trial sequential analysis was used in order to control for random errors. Results A total of 16 trials included 1973 women. …”
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ORGANIZING THE WORK OF THE DONOR BREAST MILK BANK AT THE LVIV PERINATAL CENTER IS AN EXPERIENCE THAT MOTIVATES FURTHER DEVELOPMENT by М. Малачинська, М. Кісельова, О. Шлемкевич, Н. Вереснюк, Г. Коваленко

“… Human milk is considered the primary source of nutrition for breastfed infants and is justifiably regarded as the “gold standard.” Errors in feeding breastfed infants negatively affect not only the child’s physical health but also their functional capacities. …”
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No difference between CT- and MRI-based patient-specific instrumentation for total knee arthroplasty: an updated systematic review and meta-analysis by Long Shao, Long Shao, Xiang-Dong Wu, Xiang-Dong Wu, Yuhao Liu, Xing Wang, Chunyan Li, Kun Tao, Kun Tao, Shicheng Wang, Shicheng Wang

“…The integrated results revealed no significant differences between CT- and MRI-based PSI systems concerning the outlier incidence of coronal overall limb alignment, the outlier incidence of coronal/sagittal alignment of the femoral/tibial component, the angular errors of coronal overall limb alignment, the angular errors of the femoral/tibial component in the coronal plane, or incidence of change of implant size of the femoral/tibial component. …”
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A PBPK modeling approach for personalized dose optimization of nicardipine in renal and hepatic dysfunction by Ammara Ayub, Ammara Zamir, Muhammad Fawad Rasool, Usman Arshad, Faleh Alqahtani

“…The precision of the model was then evaluated through visual predictive checks, mean observed–predicted ratios, and average fold error across relevant PK parameters, which adhered to the predefined 2-fold threshold. …”
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