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02. International Journal of Computing and Digital Systems
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Volume 13
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Now showing items 13-32 of 124

Bandwidth Improvement of Dualband mm-wave Microstrip Antenna Using Genetic Algorithm

Dejen, Arebu (2023-04-30)

The demand of multi-functional antennas with an achievable performance from a single device is increasing dramatically. At the same, dual-band rectangular microstrip antennas are essential for a wide range of mmwave ...
Blockchain for Optimized Pattern Recognition: Comparative Study

Rahal, Hakima Rym; Slatnia, Sihem; Kazar, Okba; Barka, Ezedin (2023-03-02)

Machine Learning and specifically Deep Learning systems have received much interest recently in many fields including the domain of Pattern Recognition. However, these systems usually relay on centralized data for training, ...
Brain Tumor Classification using Fine-Tuning based Deep Transfer Learning and Support Vector Machine

Karim, Pshtiwan Jabar; Mahmood, Sabah Robitan; Sah, Melike (2023-01-29)

One of the leading reasons globally of cancer-related deaths is brain tumors. The classification of brain tumors is a challenging research issue. Concerning intensity, size, and shape, brain tumors show high variations. ...
Calculating Spectral Index Based on Linear SVM Methods for Landsat OLI: Baiji Sand Dunes a Case Study, Iraq

Al-Zubaidi, Ehsan Ali; Rabee, Furkan; H. Al-Sulttani, Ahmed (2023-03-16)

Machine learning and remote sensing technologies can effectively investigate and monitor the dynamic features of dunes, sand accumulations, and environmental changes. However, the present article examines the performance ...
Ciphertext-Policy Attribute-Based Encryption Scheme for Secure Organizations’ Bitcoin Wallet Access

Salem, Fatty M.; Mahgoub, Shereen M.; Ibrahim, I. I. (2023-02-28)

Bitcoin is a totally decentralized digital cryptocurrency stored in a wallet managed by the user using his private key. In organizations, to allow the employees to access organization wallet, bitcoins need to be managed ...
Classification of Mammography Images Using Deep-CNN based Feature Ensemble Approach and its Implementation on a Low-Cost Raspberry Pi

Bokade, Aarti N.; Shah, Ankit (2023-05-06)

Deep Convolutional Neural Networks (Deep-CNNs) algorithms have demonstrated superior performance over different machine learning approaches in the early-stage detection of breast cancer using mammography images in recent ...
Combined CNN with STARGAN for Wheat Yellow Rust Disease Classification

Kumar, Deepak; Kukreja, Vinay (2023-03-02)

Experienced evaluators takes a lot of time for the correct prediction of wheat yellow rust. For better prediction of wheat yellow rust disease in wheat plant, computer assisted techniques such as machine learning (ML), ...
A Comprehensive Analysis of Signature Schemes: Towards Pairing and Non-pairing, Taxonomy and Future Scopes Pairing & Non-pairing Security

Gaur, Rajkumar; Prakash, Shiva (2023-03-02)

The notion of a ”Signature scheme” carries possibilities to solve the message and key security problems. A signature scheme aims to secure the channels, IoT nodes, and Blockchain to use public resources and provide ...
Convolutional Neural Network (CNN) Model to Mobile Remote Surveillance System for Home Security

Ayad, Rana; Al-Khalidi, Farah Q. (2023-05-06)

Every citizen wants to eliminate any potential threat to themselves or their belongings. A proper and modern surveillance system is necessary given the enormous increase in the security needs of both persons and organizations. ...
Convolutional Neural Network Based Improved Crack Detection In Concrete Cubes

Kapadia, Harsh K; Patel, Paresh V; Patel, Jignesh B (2023-01-29)

Advancement of imaging technology and computing resources make crack detection in concrete automated using a vision-based approach. The present work focuses on crack detection in laboratory-scale concrete cubes used for ...
Covid-19 Effects on Private Tuition in Bangladesh and Internet of Things Based Support System

Akhund, Tajim Md Niamat Ullah (2023-04-30)

Private tutoring is an important matter in Bangladesh. Many students take private tutor for various study. Many teachers and senior students become private tutor to get some extra income or primary income. During the ...
Current reduction in Electrical Vehicles via EPAS system control using MVO and GWO based tuning methodology

Kumar, Vinod; Chorasiya, Gunjan; Suhag, Sathans (2023-04-30)

The electric power assist steering (EPAS) system has, in the recent years, emerged as an effective alternative to the conventional hydraulic powered steering system in new vehicles owing to its significant potential in ...
Cyclist Fall Detection System via the Internet of Things (IoT)

Kit, Tam Jun; Saruchi, Sarah Atifah; Hassan, Nurhaffizah; Izni, Nor Aziyatul (2023-03-02)

Cycling has recently become one of the most popular activities among people worldwide. It is a practical and pollution-free way of transportation. However, it has several risks and potential impairments for users. One of ...
Data Aggregation Mechanisms in Wireless Sensor Networks of IoT: A Survey

Abdulzahra, Suha Abdulhussein; M. Al-Qurabat, Ali Kadhum (2021-08-02)

In numerous Internet of Things contexts, there is an increasing interest to use wireless sensor technologies. One of the most difficult problems is gathering and analyzing commodity data, given the enormous rise of smart ...
Data Mining Techniques in Disease Classification: Descriptive Bibliometric Analysis and Visualization of Global Publications

Dissanayake, Kaushalya; Johar, Md Gapar Md; Ubeysekara, Nishani H. (2023-01-29)

Many literature searches are required in scientific study, and these take a significant amount of time and effort. The bibliometric analysis is useful for locating research hotspots and gaining an understanding of research ...
Data Stream: Statistics, Challenges, Concept Drift Detector Methods, Applications and Datasets

Al-Khamees, Hussein A. A.; Al-A’araji, Nabeel; Al-Shamery, Eman S. (2023-04-15)

Through real-world applications, the data stream is generated. In contrast to traditional data, data streams have different characteristics; a huge and endless amount, on-line arriving with high speed, single processing ...
Data Stream: Statistics, Challenges, Concept Drift Detector Methods, Applications and Datasets

Al-Khamees, Hussein A. A.; Al-A’araji, Nabeel; Al-Shamery, Eman S. (2023-02-28)

Through real-world applications, the data stream is generated. In contrast to traditional data, data streams have different characteristics; a huge and endless amount, on-line arriving with high speed, single processing ...
Decision Support System to Enhance Students’ Employability using Data Mining Techniques for Higher Education Institutions

Taeza-Cruz, Maria Elisa Linda; Capili-Kummer, Marifel Grace (2023-03-02)

The paper aimed to establish a decision support system for higher education institutions to predict student employability. The data mining techniques used can assess students’ preparedness for employment before finishing ...
A Deep Learning Based Smartphone Application for Detecting Mango Diseases and Pesticide Suggestions

Rahaman, Md.; Chowdhury, Musthafezur; Rahman, Md. A.; Ahmed, Humayra; Hossain, Md.; Rahman, Md. H.; Biswas, Md.; Kader, Md.; Noyan, Tanvir A.; Biswas, Milon (2023-05-01)

Mango trees are tropical and subtropical trees that flourish in warm climates. It is a popular, tasty fruit as well as a cash crop. Farmers have a hard time selling their products when their output is reduced owing to ...
Deep Learning Model for Automatic Detection of Oral squamous cell carcinoma (OSCC) using Histopathological Images

Begum, Sayyada Hajera; Vidyullatha, P (2023-03-02)

Oral squamous cell carcinoma (OSCC), is a type of cancer that causes the loss of the structural formation of layers and membranes in the oral cavity region. With the recent advent of Deep learning (DL) in biomedical image ...

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