15 hasil untuk "Sultan Refa Alotaibi"
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Artikel Jurnal Teks lengkap
Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the…
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Artikel Jurnal Teks lengkap
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
Agricultural pests cause between 20 and 40 percent loss of global crop production every year as reported by the Food and Agriculture Organization (FAO). Therefore, smart agriculture presents the best option for farmers to apply artificial intelligence techniques integrated with modern information…
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Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images
Abstract Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increased number of cases. Pathology diagnoses complemented with predictive and prognostic biomarker information is the first step for personalized treatment. Histopathological image (HI) analysis…
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning
Human activity recognition (HAR) has attracted significant attention in various fields, including healthcare, smart homes, and human-computer interaction. Accurate HAR can enhance user experience, provide critical health insights, and enable sophisticated context-aware applications. This paper…
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Artikel Jurnal
Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways
Abstract Anomaly Detection (AD) in pedestrian walkways is significant in urban safety and security methods. It is generally employed for perceiving unusual or abnormal situations, behaviours, or actions in regions devoted to pedestrian traffic, like pedestrian bridges, sidewalks, or crosswalks. The…
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Artikel Jurnal
A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet
The accurate classification of aerial images is a crucial task in remote sensing, with applications ranging from land cover mapping and urban planning to disaster response and environmental monitoring. However, challenges such as limited labeled data, inherent data complexity, and high…
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Artikel Jurnal
Multimodal Human Action Recognition Framework Using an Improved CNNGRU Classifier
Activity recognition from multiple sensors is a promising research area with various applications for remote human activity tracking in surveillance systems. Human activity recognition (HAR) aims to identify human actions and assign descriptors using diverse data modalities such as skeleton, RGB…
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Artikel Jurnal Teks lengkap
Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images
The high mobility of uncrewed aerial vehicles (UAVs) has led to their usage in various computer vision applications, notably in intelligent traffic surveillance, where it enhances productivity and simplifies the process. Yet, there are still several challenges that must be resolved to automate…
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Artikel Jurnal
Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment
Malware detection in Internet of Things (IoT) cloud platforms is a crucial security system for securing data and devices' integrity, secrecy, and availability. IoT devices are linked to cloud-based services offering storage, calculating, and analytics abilities. However, these devices are also…
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Exploiting histopathological imaging for early detection of lung and colon cancer via ensemble deep learning model
Abstract Cancer seems to have a vast number of deaths due to its heterogeneity, aggressiveness, and significant propensity for metastasis. The predominant categories of cancer that may affect males and females and occur worldwide are colon and lung cancer. A precise and on-time analysis of this…
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Explainable artificial intelligence in web phishing classification on secure IoT with cloud-based cyber-physical systems
IoT is the technology that aids the interconnection of all kinds of devices over the internet to replace data, monitor devices and enhance actuators to create outcomes. Cyber-physical systems (CPS) contain control and computation components, which are compactly assured with physical procedures. The…
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Artikel Jurnal
Integrating Explainable Artificial Intelligence With Advanced Deep Learning Model for Crowd Density Estimation in Real-World Surveillance Systems
Crowd Density Detection in Smart Video Surveillance involves advanced computer vision (CV) techniques to improve the efficiency and accuracy of crowd monitoring. The system assists in detecting and analyzing crowd density in real-time by utilizing artificial intelligence and machine learning (ML)…
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Two-Tiered Privacy Preserving Framework for Software-Defined Networking Driven Defence Mechanism for Consumer Platforms
Software-defined networking (SDN) is a novel network theory that divides the controller from the network devices such as switches and routers. The integrated SDN structure enables the global network organization and tackles the necessity of present data centers. There are great advantages presented…
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Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles
Industrial development has changed vehicles of traditional into autonomous vehicles (AVs). AVs play a significant role since they are measured as a vital module of smart cities. The AV is an advanced automobile efficient in preserving secure driving by evading collisions formed by drivers. In…
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Artikel Jurnal
Hybrid GWQBBA model for optimized classification of attacks in Intrusion Detection System
In order to keep computer networks secure, Network Intrusion Detection Systems (IDS) look for a variety of threats and illegal application usage that firewalls miss. When building efficient network intrusion detection systems, the feature selection method is crucial. Numerous bio-inspired…