An introduction to Self-Aware Deep Learning for medical imaging and diagnosis by Paolo Dell’Aversana

“…They offer advantages such as enhanced adaptability to varying data qualities, improved error detection, efficient resource allocation, and increased transparency in AI-assisted diagnoses. …”
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Reviewing the Correlation of Fish Quality Alteration and In-Package Headspace Composition: Evidence From a pH Freshness Indicator Case Study by Evgenia Basdeki, Stamatia Eleni Vasilaki, Matteo Sensi, Emmanouil Flemetakis, Fabio Biscarini, Deborah Power, Theofania Tsironi

“…This study investigates the application of pH-sensitive indicators on fish products, aiming to analyze and highlight the importance of comprehensive monitoring of the physicochemical alterations and their interactions with the headspace composition during refrigerated storage of fresh fish. Insights into this process can contribute to developing more practical spoilage indicators and dynamic shelf life prediction methods. …”
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Research on optimal power source for passenger transport eVTOL by Shigetoshi TOKUOKA, Yoshiki YAMAGATA, Yoshiaki OHKAMI

“…The proposed procedure offers significant value in the early stages of eVTOL development by enabling the identification of optimal power source specifications and the early detection of gaps between planned and required specifications. …”
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Application of Reinforcement Learning in Controlling Quadrotor UAV Flight Actions by Shang-En Shen, Yi-Cheng Huang

“…Furthermore, this study proposes integrating the YOLOv7-tiny object detection (OD) system to assess the applicability of reinforcement learning in real-world settings. …”
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Towards Automatic Expressive Pipa Music Transcription Using Morphological Analysis of Photoelectric Signals by Yuancheng Wang, Xuanzhe Li, Yunxiao Zhang, Qiao Wang

“…In this paper, we assess different transcription processes and algorithms applied to signals captured by optical sensors mounted on a pipa—a traditional Chinese plucked instrument—played using a range of techniques. …”
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Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

“…As an end-to-end fault diagnosis system, TL-CoCNN significantly enhances the feature representation capability of complex signals, showing promising potential for practical applications in fault detection and diagnosis.…”
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EPIDEMIOLOGICAL SITUATION ON HIV INFECTION IN THE REPUBLIC OF BASHKORTOSTAN IN 2015 by R. G. Yapparov, G. R. Gabitova

“…In the  Republic of Bashkortostan the  intense epidemiological  situation on HIV infection remains, spread  of a human   immunodeficiency  virus  among   the  population and augmentation of cumulative number infected and  patients continues.Research objective: detection of nature of epidemic process  of HIV infection in the  Republic of Bashkortostan and the city of Ufa.On  the  basis  of  medical documentation: a registration form No. 058/at “Emergency notice on an infectious disease, food poisoning, unusual reaction to an inoculation”, the card of epidemiological inspection of the center  of HIV infection, the card of an ambulatory, – 23 143 cases  of HIV infection, 5343 cases of death of HIV-positive patients were studied.As a result of research  tendencies of spread  of HIV infection in the republic are taped: body height of number of again taped HIV-positive persons (2015 – 2 907 new cases  of HIV infection, 2014 – 2 862 case, 2013 – 2 475 cases); conservation  of a high  incidence of HIV infection (71,39 on 100 000 population); augmentation of specific gravity of a sexual way of transfer  of the HIV (51,42%) realized both at heterosexual contacts and  in group  of men  who have  sex with  men  (48 cases); growth  by 37,9% of number of the died  HIV-positive people of all reasons  and, including, owing  to HIV infection; prevalence among HIV-positive people at the time of identification  of an age category from 31 to 40 years (48,8%).Current  situation demands acceptance of  urgent measures for stabilization and  depression of a case rate the HIV infection  including  carrying   out   scheduled  maintenance with the working population.…”
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Tracking of The Most Significant Laboratory Parameters For The Identification of Covid-19: An Overview on The Different Blood Tests by Seenaa Ali

“…There is an accelerated need for detecting the laboratory tests that can aid in identifying infected people and asymptomatic carriers to control the virus transmission process. …”
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Development and Application of a Robust Imine-Based Covalent Organic Framework for Stir Bar Sorptive Extraction of Estrogens in Environmental Water by Jianing Sun, Xixi Lian, Lianzhi Wang, Zhengchao Duan

“…A series of parameters affecting the SBSE process, such as solution pH, ionic strength, extraction time, and desorption solvent, were investigated by the controlled variable method. …”
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Investigation of AI Algorithms for Photometric Online Analysis in a Draft Tube Baffle Crystallizer by Laura Marsollek, Julius Lamprecht, Norbert Kockmann

“…This work investigates the use of computer vision to detect and size crystals in a lab scale draft tube baffle crystallizer (DTBC). …”
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Power Quality Disturbance Classification Method Based on Unscented Kalman Filter and Kernel Extreme Learning Machine by Yanjun Jiao, Haoyu Cao, Linke Wang, Jiahui Wei, Yansong Zhu, Hucheng He

“…Considering the limitations of the traditional time–frequency domain method and the complexity of the optimization algorithm in extracting features, a novel algorithm is proposed to classify the PQDs in this paper, which is based on the unscented Kalman filter (UKF) and the kernel extreme learning machine (KELM). The UKF is used to detect and process the original disturbances, and anti-noise detection performance is analyzed by tracking the amplitude change in voltage swell under different signal–noise ratios (SNRs). …”
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Fundus Changes in Milliary Tuberculosis: A Retrospective Cohort Study by Kalpna Jain, Manak Gujrani, Jaishree Murli Manoher, Jyoti Garhwal, Nilesh Gupta

“…The optic nerve may be involved not only by the toxic effect of anti-tubercular drug but also in the disease process itself.…”
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An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

“…We employed a feature selection process to identify the most relevant gene expressions associated with liver cancer. …”
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Development and Application of DNA-Based Tools to Authenticate Marketed <i>Salvia officinalis</i> Products by Teresa Maria Rosaria Regina, Elisa Calabrese

“…Nonetheless, the LAMP assay offers a more straightforward, rapid, efficient, and cost-effective approach that facilitates the authentication process for sage. The adoption of this method by quality control laboratories could then ensure safety and protect consumers from potential health risks associated with adulterated sage products.…”
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Current Progress and Future Trends of Genomics-Based Techniques for Food Adulteration Identification by Jing Zhao, Wei Yang, Hongli Cai, Guangtian Cao, Zhanming Li

“…Food adulteration encompasses practices such as substitution, process manipulation, mislabeling, the introduction of undeclared ingredients, and the adulteration of genetically modified foods. …”
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Implementation of the Advanced Encryption Standard (AES) Algorithm and Bit Plane Complexity Segmentation (BPCS) Steganography Technique for Enhancing Text File Security by Afthar Kautsar, Muhammad Ikhsan

“…This study aims to enhance data security by combining AES encryption and BPCS steganography. The process begins by encrypting text data using AES-128, ensuring that the information cannot be accessed without a valid key. …”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…The internet key exchange (IKE) protocol, integral to the authentication and key negotiation process within the Internet Protocol Security (IPSec) framework, has been utilized for the protection of IP communications. …”
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A Contamination Sensor Based on an Array of Microfibers with Nanoscale-Structured Film by Guorui Zhou, Xiaodong Yuan, Hai-Bing Lü, Hai Zhou, Haijun Wang, Hongbin Wang, Xinxiang Miao

“…Microfibers are fabricated by using hydrogen-oxygen flame-heated scanning fiber drawing method and the nanoscale-structured film coated on the surface of microfibers is deposited by using dip coating process. Then an array of microfibers is assembled to demonstrate the feasibility of the device. …”
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Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model by Risfendra Risfendra, Gheri Febri Ananda, Herlin Setyawan

“…Implementing this model in the industry can automate the waste sorting process more efficiently and accurately than methods based on inductive and capacitive proximity sensors. …”
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Parents as key actors to screen early childhood development disorders: Validation of a culturally sensitive, parent-administered screening instrument using Delphi technique by Vadivelan Kanniappan, J. R. Abishek, S. Shrisruthi, Manju B. Manoharan, Manikumar Muthiah, Prakash Muthuperumal

“…The paper presents the methods and outcomes of the validation process using the Delphi technique to develop a culturally congruent instrument appropriate to be used by the parents of infants in the South Indian state of Tamil Nadu to assess their child’s developmental progress. …”
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