A systematic review of deep learning techniques for apple leaf diseases classification and detection by Assad Souleyman Doutoum, Bulent Tugrul

Subjects: “…Deep learning…”
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Enhancement of Breast Cancer Classification Using Bat Feature Selection with Recurrent Deep Learning by Ali Nafaa Jaafar

“…The result was a comparative study using recurrent deep learning with the bat algorithm to classify breast cancer. …”
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Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments by Komala C R, S. Vimal, G. Ravindra, P. Hariramakrishnan, Shaik Razia, S. Geerthik, K. Raja, V. Mohanavel, Nedumaran Arappali

“…In this paper, an energy distribution model was proposed to estimate the photo energy with the help of deep learning model. A small apartment not only uses less energy but also requires lower construction costs. …”
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Advancements in Frank’s sign Identification using deep learning on 3D brain MRI by Sungman Jo, Jun Sung Kim, Min Jeong Kwon, Jieun Park, Jeong Lan Kim, Jin Hyeong Jhoo, Eosu Kim, Leonard Sunwoo, Jae Hyoung Kim, Ji Won Han, Ki Woong Kim

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Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function by Jason B. Gibson, Ajinkya C. Hire, Philip M. Dee, Oscar Barrera, Benjamin Geisler, Peter J. Hirschfeld, Richard G. Hennig

“…First, we compute α 2 F(ω) for 818 dynamically stable materials. We then train a deep-learning model to predict α 2 F(ω), using a training strategy tailored for limited data to temper the model’s overfitting, enhancing predictions. …”
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A deep learning based detection algorithm for anomalous behavior and anomalous item on buses by Shida Liu, Yu Bi, Qingyi Li, Ye Ren, Honghai Ji, Li Wang

“…The algorithm is based on the deep learning YOLOv5 (You Only Look Once) algorithm with improvements. …”
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Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains by Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal

“…This study proposes a generalized adaptive deep learning model that helps the front-line paramedical employees to easily detect COVID-19 in different radiology domains. …”
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Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy by Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Espen F. Alexander Ihlen

“…This paper tests the reliability and applicability of Explainable AI (XAI) methods using a deep learning method that predicts CP by analyzing skeletal data extracted from video recordings of infant movements. …”
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Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design by Bin Hu

“…This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. …”
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Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering by Ma Hyunjun, Kim Jin-Soo, Choe Jong-Ho, Park Q-Han

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Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers by Wurood Abd Ali

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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…The present study employs deep learning models trained using Transfer Learning (TL) techniques. …”
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Deep learning-based method for mobile social networks with strong sparsity for link prediction by HE Yadi, LIU Linfeng

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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

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Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…This research is a preliminary study to see whether CT images of the thorax organs can be used as an alternative to detect COVID-19 virus. The deep learning is used to create a model with CT images as input. …”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…Current methods for cardiovascular disease prediction is leading to so many miss classifications, urging the need of modern automated Deep learning approaches. The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

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Image Reconstruction for High-Performance Electrical Capacitance Tomography System Using Deep Learning by Yanpeng Zhang, Deyun Chen

“…An optimization model for imaging is generated as a powerful optimizer for building a computational model to ameliorate the reconstruction accuracy. Based on the deep learning methodology, the previous images reconstructed by using one of the imaging techniques to the required images are abstracted and stored in the deep learning machine, resulting in an error rate of 8.9%, and this is considered good on ECT. …”
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Enhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices by Sumitra Nuanmeesri

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