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DL-HIDS: deep learning-based host intrusion detection system using system calls-to-image for containerized cloud environment
In the rapidly evolving IT industry, containerization has introduced new security challenges including cloud data breaches. DL-HIDS explores the...
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SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting
As the economy has grown rapidly in recent years, more and more people have begun putting their money into the stock market. Thus, predicting trends...
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CoDFi-DL: a hybrid recommender system combining enhanced collaborative and demographic filtering based on deep learning
The cold start problem has always been a major challenge for recommender systems. It arises when the system lacks rating records for new users or...
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DL-DARE: Deep learning-based different activity recognition for the human–robot interaction environment
This paper proposes a deep learning-based activity recognition for the Human–Robot Interaction environment. The observations of the object state are...
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LoRa DL: a deep learning model for enhancing the data transmission over LoRa using autoencoder
Low Power Wide Area Networks (LPWANs) have become a popular option for modern wireless communication technologies. Long Range (LoRa) protocol was...
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Deep learning-based early stage detection (DL-ESD) for routing attacks in Internet of Things networks
Security represents one of the main critical issues in the Internet of Things (IoT), especially the routing attacks in the core network where the...
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IRADA: integrated reinforcement learning and deep learning algorithm for attack detection in wireless sensor networks
Wireless Sensor Networks (WSNs) play a vital role in various applications, necessitating robust network security to protect sensitive data. Intrusion...
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Leveraging deep learning-assisted attacks against image obfuscation via federated learning
Obfuscation techniques (e.g., blurring) are employed to protect sensitive information (SI) in images such as individuals’ faces. Recent works...
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An Analysis of Plant Diseases on Detection and Classification: From Machine Learning to Deep Learning Techniques
Plants are acknowledged as being crucial because they are the main source of human energy generation due to their nutritional, therapeutic, and other...
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Deep learning for survival analysis: a review
The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for...
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Evolutionary Techniques in Making Efficient Deep-Learning Framework: A Review
Deep learning (DL) which is an important part of artificial intelligence has become an advanced tool for learning processes viz. classification,...
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A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble learning (EL) are four outstanding approaches that enable...
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Machine learning and deep learning techniques for poultry tasks management: a review
In recent years the poultry production industry has adopted automation with the help of different kinds of technological advancements like verities...
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A novel deep learning model-based optimization algorithm for text message spam detection
Mobile texting has increased social engineering assaults like phishing. Because spam, or unsolicited text messages, spread phishing attempts that...
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Research trends in deep learning and machine learning for cloud computing security
Deep learning and machine learning show effectiveness in identifying and addressing cloud security threats. Despite the large number of articles...
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Application of deep learning technique in next generation sequence experiments
In recent years, the widespread utilization of biological data processing technology has been driven by its cost-effectiveness. Consequently,...
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Effectiveness evaluation of sprint sports techniques and tactics based on deep learning
The assessment of sprint-like sports techniques and tactics involves evaluating their underlying running principles, structures, functions, methods,...
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Silent no more: a comprehensive review of artificial intelligence, deep learning, and machine learning in facilitating deaf and mute communication
People who often communicate via sign language are essential to our society and significantly contribute. They struggle with communication mostly...
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Performance evaluation of deep learning approaches for predicting mechanical fields in composites
This paper presents a rigorous and critical methodology for evaluating the performance of deep learning (DL) techniques in predicting mechanical...
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Deep Learning—Prediction
Deep learning is a subfield of artificial intelligence (AI) that is concerned with develo** large and complex neural networks for various tasks. As...