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🔍 "Deep Learning"

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3 publications
John Smith
Visiting Lecturer · COMSATS University Islamabad
Mar 7, 2026
Question
Understanding Convolutional Neural Networks — a beginner guide

I am new to deep learning and want to understand CNNs from scratch. Can someone explain: 1. What makes convolution different from fully connected layers? 2. How does backpropagation work through conv

8 reads 2 3
2 researchers recommend this
SA
Sara Ahmed
· MIT
Mar 2, 2026
Announcement
Deep Learning Research Update: BERT Fine-tuning for Scientific Text

Sharing our latest results on fine-tuning BERT-base for scientific literature classification. We achieved 94.2% accuracy on the SciPaper benchmark, improving over the baseline by 6.8%. Key findings:

4 reads 2 0
2 researchers recommend this
AK
Ali Khan
PhD Scholar · University of Lahore
Mar 1, 2026
Discussion
AI in Agriculture: Using Computer Vision for Crop Disease Detection

We have been working on a deep learning pipeline to detect crop diseases from drone imagery. Using YOLOv8 fine-tuned on our custom dataset of wheat and rice diseases. Our current model achieves 89% m

5 reads 3 3
3 researchers recommend this
📚 From Affiliated Journals
📚 Journal Paper Scientific Reports Jul 2026
Enhancing IoT network security with explainable deep learning-based intrusion detection systems
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Miracle Udurume, Vladimir Shakhov, Insoo Koo
DOI 10.1038/s41598-025-34334-3
📚 Journal Paper Scientific Reports Jul 2026
Multi-component exercise intervention methods for intelligent assisted diagnosis of sarcopenia in the elderly based on deep learning
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Xiangkun Yang, Soh Kim Geok, Chin Yit Siew, Xin Jing
DOI 10.1038/s41598-026-62703-z
📚 Journal Paper 📊 13 citations Sep 2021
BLOCKCHAIN CNN DEEP LEARNING EXPERT SYSTEM FOR HEALTHCARE EMERGENCY
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RICARDO CARREÑO AGUILERA, MIGUEL PATIÑO ORTIZ, ADAN ACOSTA BANDA, LUIS ENRIQUE CARREÑO AGUILERA

This paper relates to the field of Artificial Intelligence, specifically to image recognition, and provides an innovative method to take advantage of Blockchain Convolutional Neural Networks (BCNNs)

DOI 10.1142/s0218348x21502273 Vol. 29 Issue 06
📚 Journal Paper 📊 3 citations Mar 2022
THE USE OF NONLINEAR DYNAMIC SYSTEM AND DEEP LEARNING IN PRODUCTION CONDITION MONITORING AND PRODUCT QUALITY PREDICTION
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JUN LI, RUOQI WANG, MOHAMMED SH. ALHODALY, JINGFENG HUANG +1 more

To improve the product quality and production efficiency in industrial production, the industrial production process is explored. First, for the production state in industrial production, the radio f

DOI 10.1142/s0218348x22400680 Vol. 30 Issue 02
📚 Journal Paper 📊 3 citations Jan 2023
UNREADABLE OFFLINE HANDWRITING SIGNATURE VERIFICATION BASED ON GENERATIVE ADVERSARIAL NETWORK USING LIGHTWEIGHT DEEP LEARNING ARCHITECTURES
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JAFAR MAJIDPOUR, FATIH ÖZYURT, MOHAMMED HUSSEIN ABDALLA, YU MING CHU +1 more

Today, it is known that there are great difficulties and problems in signature and signature examinations, which have a very important place in both our private life and business and commercial life.

DOI 10.1142/s0218348x23401011 Vol. 31 Issue 06
📚 Journal Paper 📊 2 citations Jan 2023
DEEP LEARNING-DRIVEN DIFFERENTIATED TRAFFIC SCHEDULING IN CLOUD-IOT DATA CENTER NETWORKS
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XIANJU WANG, TAO CHEN, SHUGUANG CHEN, YONG ZHU +4 more

The development of 5G technology has enabled the cloud-internet of things (IoT) to impact all areas of our lives. Sensors in cloud-IoT generate large-scale data, and the demand for massive data proce

DOI 10.1142/s0218348x2340145x Vol. 31 Issue 06
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