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02. International Journal of Computing and Digital Systems
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Browsing 02. International Journal of Computing and Digital Systems by Title

Browsing 02. International Journal of Computing and Digital Systems by Title

Now showing items 998-1017 of 1679

A machine learning-based optimization algorithm for wearable wireless sensor networks

Sudhakar Yadav, N.; Maheswari V, Uma; Aluvalu, Rajanikanth; Sai Prashanth, Mallellu; Saini, Vaibhav; Prasad Kantipudi6, MVV (2024-05-20)

In an Internet of Things (IoT) setting, a Wireless Sensor Network (WSN) effectively collects and transmits data. Using the distributed characteristics of the network, machine learning techniques may reduce data transmission ...
Machine Learning-Based Real-Time Detection of Apple Leaf Diseases: An Enhanced Pre- processing Perspective

Bonkra, Anupam; Jindal, Priya; Kaur, Mandeep; Boonchieng, Ekkarat; Kumar, Naveen (2024-05-24)

Cedar, rust, spot, frogeye, and healthy leaf are the five general types of apple leaf diseases (ALDs). An early phase diagnosis and precise detection of ALDs can manage the extent of infection and confirm the well growth ...
Machine learning-based security mechanism to detect and prevent cyber-attack in IoT networks

Alomiri, Abdullah; Mishra, Shailendra; AlShehri, Mohammed (2024-08-01)

The increasing prevalence of Internet of Things (IoT) systems has brought about significant security concerns. Cyber-attacks, including denial-of-service attacks, malware infections, and phishing attempts, pose serious ...
Machine Vision Based Approach for Automated Keypad Inspection

P. Navghane, Ashwini; V. Pise, Abhijeet; Kulkarni, Shailesh; Talware, Rajendra (2021-07-25)

Humans have been traditionally tasked with quality control because it requires judgment. Hence when it comes to manufacturing and quality inspection, Machine Vision plays an important role. However, for the best quality, ...
Malicious traffic Detection of DNS over HTTPS using Ensemble Machine Learning

Singh, Sunil Kumar; Roy, Pradeep Kumar (2022-02-15)

As the Internet is growing very fast, the Domain Name System remains under constant attacks and day by day its vulnerability is increasing. In the cyberattacks, it has been shown that the maximum attackers make target on ...
Management of WSN-enabled Cloud Internet of Things: A Review

Abel, Edje Efetobor; Muhammad, Abd Latiff Shafie (2021-02-08)

Internet of Things (IoT) is the networking of computer devices and objects to share information through the internet. The last five years have witnessed great success in the deployment of cloud massive storage and computation ...
Managing Performance Interference Effects for Intelligent and Efficient Virtual Machines Placement based on GWO Approach in Cloud

HAMDI, Hedi; AMRI, Sabrine; Brahmi, Zaki (2019-07-01)

Cloud computing paradigm has been a trend in the computational world. Thus, many service providers today are competing to enhance their features to attract more customers as they are offering them a bunch of features through ...
Mangrove Tree Density Detector Using YOLO Based On Darknet Framework

Yudhistira Kurniawan, Ilyas; Udin Harun Al Rasyid, M; Sukaridhoto, Sritrusta (2024-01-08)

Mangroves are important trees that live in swamp areas. Many mangroves are damaged and need preservation. Monitoring mangroves is important for preservation, but it is difficult access by ground and requires a lot of ...
Mangrove Tree Density Detector using YOLO Based on Darknet Framework using RGB Drone Imagery

Yudhistira Kurniawan, Ilyas; Udin Harun Al Rasyid, M.; Sukaridhoto, Sritrusta (2024-08-01)

Mangrove preservation is crucial due to their ecological significance impact. Monitoring the health of mangrove forests is essential for preservation strategy, yet it remains challenging and time-intensive, particularly ...
Mapping Crop Types At a 10 m Scale Using Sentinel-2 Data and Machine Learning Methods

Khan, Atiya; H. Patil, Chandrashekhar; D. Vibhute, Amol; Mali, Shankar (2024-06-01)

Crop classification plays a vital role in crop status monitoring, crop area estimation, and food production. Remote sensing data is widely accepted for crop classification at remote locations. However, crop classification ...
MASK DETECTION USING DEEP LEARNING METHODS

Mudasar Azeem, M; Ul Haq, Inam; Nauman, Muhammad; Talha Hashmi, Muhammad; Shabbir Qaisar, Bilal (2024-01-02)

If nothing changes, the COVID-19 pandemic will devastate institutions like the academy around the world, forcing them to lock their doors virtually. SARS-CoV-2 is a coronavirus that causes the severe acute respiratory ...
Maternal Dyslipidemia During Pregnancy Correlates with Elevated Lipid Levels in One-Year-Old Infants

Bokka, Yugandhar; Jagan Mohan, R. N. V.; Chandra Naik, M. (2024-03-10)

Developmental disorders such as autism spectrum disorder (ASD) result from differences in brain development influenced by genetic, environmental, and prenatal factors. Early indicators of ASD include repetitive behaviors ...
Matrix Factorization and Cosine Similarity based Recommendation system for cold start Problem in e-commerce Industries

Ahamed, Jameel; Noori, Md Nadeem; Ahmed, Mumtaz (2024-02-01)

A recommendation system, often called a recommender system, is a kind of artificial intelligence (AI) algorithm that suggests or recommends products to both current and potential clients based on big data. It makes use of ...
Measure the Software Quality based on Grasshopper Optimization Algorithm

Saleh, Ibrahim Ahmed; H. AL_Bayati, Asmaa; Hadi Thanoon, Kifaa (2020-07-01)

Software quality is very essential function from development during the early life of software engineering. Software Quality helps to detect errors and potential errors during initial stage of design and software ...
Medical Image Augmentation Framework for Resolving Chest X-Ray Data Imbalance

Sethi, Rachna; Mehrotra, Monica; Sethi, Dhaarna; Mehrotra, Gaurang (2022-10-31)

Deep learning techniques, particularly convolutional neural networks (CNNs), have led to an enormous breakthrough in the field of medical imaging. Since the onset of the COVID-19 pandemic, studies based on deep learning ...
A Method for Secure Data Outsourcing Utilizing Hybrid Data Partitioning

Badran, Sultan; Arman, Nabil; Farajallah, Mousa (2024-06-15)

Considering the recent advancements made in internet speed and the development of cloud services, along with the various benefits offered by the cloud such as reliability and convenient accessibility, it becomes necessary ...
Method of Adjacent Distance Array Outperforms Conventional Huffman Codes to Decode Bengali Transliterated Text Swiftly

Sarker, Pranta; Rahman, Mir Lutfur (2021-08-22)

This research works on high symbolic Bengali text and transforms it into corresponding less symbolic English complying with the transliteration method. The Huffman-based approaches serve to compress retaining the original ...
Method to Profiling the Characteristics of Indonesian Dangdut Songs, Using K-Means Clustering and Features Fusion

Mahardhika, Ferdinand; Warnars, Harco Leslie Hendric Spits; Nugroho, Anto Satriyo; Budiharto, Widodo (2023-09-01)

There have been numerous studies that discuss profiling for various subjects, including criminal profiling, consumer profiling, and employee profiling, among others. However, song profiling is a relatively rare and ...
A Methodology for Glaucoma Disease Detection Using Deep Learning Techniques

Ghani, Fatima; Sattar, Usman; Narmeen, Mehak; Wazir Khan, Hamza; Mehmood, Ahsan (2021-08-13)

The advancement of computer technology and the needs of image processing is spreading in a wide range of applications. There are many techniques in image processing and one of the major techniques is Image classification. ...
A Methodology for Identification of Ayurvedic Plant Based on Machine Learning Algorithms

Rao, Marada S.; Kumar, S.P.; Rao, Konda S. (2023-10-01)

Automated plant species recognition systems have recently been created to aid in the identification of various species by regular people. But compared to human interpretation, automatic computer analysis of plant species ...

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