Meeting Review – Helicobacter pylori: Basic Mechanisms to Clinical Cure 2000 by Raymond G Lahaie, Naoki Chiba, Carlo Fallone

“…The meeting Helicobacter pylori: Basic Mechanisms to Clinical Cure 2000, held in Bermuda from March 26 to 29, 2000, gathered physicians and scientists from all corners of the world. …”
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Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots by Li Wang, Lijun Zhao, Guanglei Huo, Ruifeng Li, Zhenghua Hou, Pan Luo, Zhenye Sun, Ke Wang, Chenguang Yang

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Transmission Lines Insulator State Detection Method Based on Deep Learning by Xu Tan, Shiying Hou, Fan Yang, Zhimin Li

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Retracted: The Construction of Sports Health Management Model Based on Deep Learning by Applied Bionics and Biomechanics

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Retracted: Educational Data Mining by Optimally Fusing Shallow and Deep Features by Applied Bionics and Biomechanics

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Adaptive Image Denoising Method Based on Diffusion Equation and Deep Learning by Shaobin Ma, Lan Li, Chengwen Zhang

“…From the comparison results, it can be seen that the improved denoising algorithm in this paper can also improve the detail restoration of denoised images without losing the sharpness. …”
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AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL by LAWRENCE OMOTOSHO, KEHINDE SOTONWA, BENJAMIN ADEGOKE, OLUWASHINA OYENIRAN, JOSHUA OYENIYI

Subjects: “…dermatology, artificial intelligence, deep learning, AlexNet…”
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IEEE Open Journal of Antennas and Propagation List of Reviewers, Volume 5

“…IEEE Open Journal of Antennas and Propagation…”
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Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network by Li Ma, Xueliang Guo, Shuke Zhao, Doudou Yin, Yiyi Fu, Peiqi Duan, Bingbing Wang, Li Zhang

“…In today's era of increasing demand for strawberry yield and quality, it is obvious that the traditional strawberry disease identification methods mainly rely on personal experience and naked eye observation and cannot meet the needs of people for strawberry disease identification and control. …”
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2.5D Facial Personality Prediction Based on Deep Learning by Jia Xu, Weijian Tian, Guoyun Lv, Shiya Liu, Yangyu Fan

“…Our experimental results show that the deep neural network trained by large labeled datasets can reliably predict people’s multidimensional personality characteristics through 2.5D static facial contour images, and the prediction accuracy is better than the previous method using 2D images.…”
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CATCH 2023 Meeting Summary: Collaborate & Address Treatment Challenges in Haemophilia by Benson Gary, Curry Nicola, Fletcher Simon, Gregory Will, Harrison Cathy, Laffan Mike, Lowe Gillian, Khair Kate, Kirk Susan, McLaughlin Paul, Percy Charles, Player Denise, Whitaker Sarah

“…Collaborate & Address Treatment Challenges in Haemophilia (CATCH) is an annual Sobi™ medical education meeting which brings together multidisciplinary haemophilia treaters throughout the UK and Ireland to discuss all aspects of haemophilia management, including associated challenges and unmet need. …”
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ECP-IEM: Enhancing seasonal crop productivity with deep integrated models. by Ghulam Mustafa, Muhammad Ali Moazzam, Asif Nawaz, Tariq Ali, Deema Mohammed Alsekait, Ahmed Saleh Alattas, Diaa Salama AbdElminaam

“…The existing Machine Learning (ML) methods are using statistical measures as regression, correlation and chi square test for predicting crop yield, all such model's leads to low accuracy when the number of factors (variables) such as the weather and soil conditions, the wind, fertilizer quantity, and the seed quality and climate are increased. The proposed methodology consists of different stages, like Data Collection, Preprocessing, Feature Extraction with Support Vector Machine (SVM), correlation with Normalized Google Distance (NGD), feature ranking with rising star. …”
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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

“…The proposed system works on three stages: pre-processing, feature extraction, and classification with machine learning algorithms including NB, KNN, ADA, DT, and CNN deep learning. The pre-processing stage involves cropping images to retain the relevant maps, which were subjected to contrast enhancement to improve image quality. …”
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Leveraging Deep Learning for Real-Time Coffee Leaf Disease Identification by Opeyemi Adelaja, Bernardi Pranggono

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Reactive Eccrine Syringofibroadenoma on the Heel, Clinically Mimicking Squamous Cell Carcinoma by Yuri Sugita, Teruhiko Makino, Kotaro Matsui, Tadamichi Shimizu

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Culture Techniques of Moina: The Ideal Daphnia for Feeding Freshwater Fish Fry by R.W. Rottmann, J. Scott Graves, Craig Watson, Roy Yanong

“…Detailed procedures for the culture of Moina, including container specifications, water quality management, aeration, feeding, and harvesting techniques, are provided. …”
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Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

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Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning by Sajid Naveed, Mujtaba Husnain, Ali Samad, Amna Ikram, Hina Afreen, Ghulam Gilanie, Najah Alsubaie

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Discovery of new topological insulators and semimetals using deep generative models by Tao Hong, Taikang Chen, Dalong Jin, Yu Zhu, Heng Gao, Kun Zhao, Tongyi Zhang, Wei Ren, Guixin Cao

“…In this study, we propose an efficient inverse design method CTMT (CTMT: CDVAE, Topogivity, interatomic potentials (IAPs) as realized in M3GNet, and TQC) utilizing deep generative machine learning models to discover novel topological insulators and semimetals in a much-fast and low-cost manner. …”
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Experimental Study of Gangue Layer Weakening with Deep-Hole Presplitting Blasting by Jianchi Hao, Lifeng Ren, Hu Wen, Duo Zhang

“…This improves the effect of weakening the coal gangue layer by deep-hole presplitting blasting.…”
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