End‐To‐End Deep Learning Temperature Prediction Algorithms of a Phase Change Materials From Experimental Photos by Mohammad Hassan Ranjbar, Kobra Gharali, Artie Ng

“…Comparison of the networks shows that MobileNets based Weights IV – Deep Neural Network (WIV‐ DNN) detects the temperature at different locations of the PCM successfully with an average error of less than 0.9% during the whole melting process in 0.03 s. …”
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Newborn screening for congenital hypothyroidism: worldwide coverage 50 years after its start by Marta Arrigoni, Nitash Zwaveling-Soonawala, Stephen H LaFranchi, A S Paul van Trotsenburg, Christiaan F Mooij

“…Background: Congenital hypothyroidism (CH) is a preventable cause of neurodevelopmental delay in children, detectable by newborn screening (NBS) programs for CH. …”
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…To accomplish that, the GRHIP-EDLIBWO method initially performs image preprocessing using a Sobel filter (SF) to enhance edge detection and extract critical gesture features. For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. …”
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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques by Yuanyuan Wang, Fangfang Wang, Zixin Qin, Yongcheng Fu, Jingyue Wang, Shangkun Li, Da Zhang

“…The aim of YOLO-IE is to improve the detection and classification of neuroblastoma tumors. …”
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Design and Experiment of Pineapple Eye Removal Device Based on Machine Vision by Manfeng Gong, Shuai Wang, Xingzao Ma, Hua Li, Chenglong Tu, Ziyi Guo

“…The removal of pineapple eyes is a crucial step in pineapple processing. However, their irregularly distributed spiral arrangement presents a dual challenge for positioning accuracy and automated removal by the end-effector. …”
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XAI-Based Framework for Protocol Anomaly Classification and Identification to 6G NTNs with Drones by Qian Sun, Jie Zeng, Lulu Dai, Yangliu Hu, Lin Tian

“…We design an interpretable anomaly detection framework for 6G NTN protocols. In particular, we introduce explainable artificial intelligence (XAI) techniques to obtain internal information, including the matching results and capture process, and design a collaborative approach involving different detection methods to utilize this internal information. …”
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Android Malware Category and Family Identification Using Parallel Machine Learning by Ahmed Hashem El Fiky, Mohamed Ashraf Madkour, Ayman El Shenawy

“…De-spite significant efforts in detecting and classifying Android malware, there is still a long way to improve the detection process and the classification performance.  …”
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Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images by Asifa Mehmood Qureshi, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz AlHammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee

“…After segmentation, we employed the YOLOv4 deep learning algorithm, which is efficient in detecting small-sized objects in vehicle detection. …”
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Activity Analysis of the Economic Entity and Digital Culture by E. B. Gerasimova

“…Result 1: Diagnosis of the specific features (phenomena) of digital culture as a new business environment. Detection of the positive features and disadvantages of digitalisation of the economy. …”
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CLINICAL EVALUATION OF THE MANIFESTATIONS OF INTERSTITIAL LUNG INJURYIN SYSTEMIC SCLERODERMA FROM HIGH-RESOLUTION COMPUTER T OMOGRAPHY DATA by L P Anan'eva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoytova, O V Desinova, L P Ananyeva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoitova, O V Desinova

“…Chest HRCT reveals the characteristic symptoms of ILI and reflects different phases of a fibrosing process in the lung. It is essential to make an in-depth examination using HRCT in all patients with SDD, irrespective of its clinical form in the earliest periods for the timely detection and treatment of ILI.…”
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Mesenchymal stem cells and exosomes: A novel therapeutic approach for aging by Dongfeng Lan, Dan Zhang, Xiaofang Dai, Ji Cai, He Zhou, Tao Song, Xianyao Wang, Qinghong Kong, Zhengzhen Tang, Jun Tan, Jidong Zhang

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Porous Carbon Fabricated by Microbial Pretreatment of Brewer’s Grain for the Improvement of Toluene Adsorption Performance by Jingxin Wang, Xiaohong Wang, Xiaoping Lin, Ziyi Yu, Davide Vione, Haomin Huang, Xiaohong Zhang, Yanhong Zhang, Jiaqi He, Yun Xia, Hansun Fang

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THE QUESTION OF MODERN SYSTEMATIZATION OF DENTAL CARIES IN UKRAINIAN CHILDREN by L. Khomenko, N. Bidenko

“…Such classification is still popular but activity of caries process and its initial stages aren’t included in it. …”
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Renalase – a new instrument in multicomponent heart failure assessment by A. M. Alieva, M. A. Batov, K. V. Voronkova, O. A. Ettinger, R. K. Valiev, I. G. Nikitin

“…Heart failure (HF) remains a serious problem in Russian and world health care due to the growing morbidity and mortality from complications of heart failure, despite the development and implementation of programs for the early detection and treatment of heart failure in asymptomatic patients. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…Additionally, transfer learning applied to object detection models such as YOLOv5s, YOLOv7-tiny, and YOLOv8s led to significant improvements in disease detection performance on the augmented dataset. …”
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A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States. by John M Drake, Andreas Handel, Éric Marty, Eamon B O'Dea, Tierney O'Sullivan, Giovanni Righi, Andrew T Tredennick

“…Observations (daily case and death reports) are modeled as arising from a negative binomial reporting process. We estimate time-varying transmission rate, parameters of a sigmoidal time-varying fraction of hospitalized cases that result in death, extra-demographic process noise, two dispersion parameters of the observation process, and the initial sizes of the latent, asymptomatic, and symptomatic classes. …”
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Discovering microproteins: making the most of ribosome profiling data by Sonia Chothani, Lena Ho, Sebastian Schafer, Owen Rackham

“…Building a reference set of protein-coding open reading frames (ORFs) has revolutionized biological process discovery and understanding. Traditionally, gene models have been confirmed using cDNA sequencing and encoded translated regions inferred using sequence-based detection of start and stop combinations longer than 100 amino-acids to prevent false positives. …”
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Research progress on intelligent coal caving theory and technology by WANG Jiachen, YANG Shengli, LI Lianghui, ZHANG Jinwang, WEI Weijie

“…Non-image recognition intelligent coal caving technology includes memory coal caving technology, sound and vibration signal detection technology, γ-ray detection technology, ground penetrating radar technology, microwave irradiation combined with infrared detection technology, and laser scanning coal caving monitoring technology. …”
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Simultaneous determination of epinephrine and folic acid using MIL-101 (Fe)-NH2 metal-organic framework/graphene oxide nanocomposite modified electrode by Rasha Kareem Khudhur

“…Key results: Compared to unmodified SPE, cyclic voltammetry revealed that the MOF/GO/SPE considerably enhanced the epinephrine oxidation process, exhibiting a greater detection current at a lower over-potential. …”
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Performing point-of-care molecular testing for SARS-CoV-2 with RNA extraction and isothermal amplification. by Pierre Garneret, Etienne Coz, Elian Martin, Jean-Claude Manuguerra, Elodie Brient-Litzler, Vincent Enouf, Daniel Felipe González Obando, Jean-Christophe Olivo-Marin, Fabrice Monti, Sylvie van der Werf, Jessica Vanhomwegen, Patrick Tabeling

“…To respond to the urgent need for COVID-19 testing, countries perform nucleic acid amplification tests (NAAT) for the detection of SARS-CoV-2 in centralized laboratories. …”
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