Search Results - "Ijaz, Muhammad Fazal"

A union of deep learning and swarm-based optimization for 3D human action recognition by Basak, Hritam, Kundu, Rohit, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Woźniak, Marcin, Sarkar, Ram

“…Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and…”
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An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects by Arora, Mohit, Verma, Sahil, Kavita, Wozniak, Marcin, Shafi, Jana, Ijaz, Muhammad Fazal

“…Software effort estimation is a significant part of software development and project management. The accuracy of effort estimation and scheduling results…”
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Enhancing medical image classification via federated learning and pre-trained model by Naga Srinivasu, Parvathaneni, Jaya Lakshmi, G., Canavoy Narahari, Sujatha, Shafi, Jana, Choi, Jaeyoung, Fazal Ijaz, Muhammad

“…The precise classification of medical images is crucial in various healthcare applications, especially in fields like disease diagnosis and treatment planning…”
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Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods by Ijaz, Muhammad Fazal, Attique, Muhammad, Son, Youngdoo

“…Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is necessary to distinguish the importance of risk factors of…”
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Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM by Srinivasu, Parvathaneni Naga, SivaSai, Jalluri Gnana, Ijaz, Muhammad Fazal, Bhoi, Akash Kumar, Kim, Wonjoon, Kang, James Jin

“…Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process…”
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A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases by Dhaka, Vijaypal Singh, Meena, Sangeeta Vaibhav, Rani, Geeta, Sinwar, Deepak, Kavita, Kavita, Ijaz, Muhammad Fazal, Woźniak, Marcin

“…In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools,…”
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Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy by Vulli, Adarsh, Srinivasu, Parvathaneni Naga, Sashank, Madipally Sai Krishna, Shafi, Jana, Choi, Jaeyoung, Ijaz, Muhammad Fazal

“…Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-169 model. However, the current system for identifying metastases in a…”
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IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet by Kundu, Nidhi, Rani, Geeta, Dhaka, Vijaypal Singh, Gupta, Kalpit, Nayak, Siddaiah Chandra, Verma, Sahil, Ijaz, Muhammad Fazal, Woźniak, Marcin

“…Decrease in crop yield and degradation in product quality due to plant diseases such as rust and blast in pearl millet is the cause of concern for farmers and…”
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A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification by Mandal, Moumita, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Shafi, Jana, Sarkar, Ram

“…In machine learning and data science, feature selection is considered as a crucial step of data preprocessing. When we directly apply the raw data for…”
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ANAF-IoMT: A Novel Architectural Framework for IoMT-Enabled Smart Healthcare System by Enhancing Security Based on RECC-VC by Kumar, Mohit, Kavita, Verma, Sahil, Kumar, Ashwani, Ijaz, Muhammad Fazal, Rawat, Danda B.

“…The Internet of Medical Things (IoMT) is an arising trend that provides a significant amount of efficient and effective services for patients as well as…”
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A Complete Process of Text Classification System Using State-of-the-Art NLP Models by Dogra, Varun, Verma, Sahil, Kavita, Chatterjee, Pushpita, Shafi, Jana, Choi, Jaeyoung, Ijaz, Muhammad Fazal

“…With the rapid advancement of information technology, online information has been exponentially growing day by day, especially in the form of text documents…”
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Hyperspectral Image Classification: Potentials, Challenges, and Future Directions by Datta, Debaleena, Mallick, Pradeep Kumar, Bhoi, Akash Kumar, Ijaz, Muhammad Fazal, Shafi, Jana, Choi, Jaeyoung

“…Recent imaging science and technology discoveries have considered hyperspectral imagery and remote sensing. The current intelligent technologies, such as…”
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Edge Caching Based on Collaborative Filtering for Heterogeneous ICN-IoT Applications by Gupta, Divya, Rani, Shalli, Ahmed, Syed Hassan, Verma, Sahil, Ijaz, Muhammad Fazal, Shafi, Jana

“…The substantial advancements offered by the edge computing has indicated serious evolutionary improvements for the internet of things (IoT) technology. The…”
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A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing by Alfian, Ganjar, Syafrudin, Muhammad, Ijaz, Muhammad Fazal, Syaekhoni, M Alex, Fitriyani, Norma Latif, Rhee, Jongtae

“…Current technology provides an efficient way of monitoring the personal health of individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a…”
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Digital Twin Heuristic Positioning of Insulation in Multimodal Electric Systems by Sikora, Andrzej, Zielonka, Adam, Ijaz, Muhammad Fazal, Wozniak, Marcin

“…We present a diagnostic method which uses a fuzzy voltage wave to test the insulation systems. Proposed solution can be used in diagnostics of electrical…”
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Analytical Study of Hybrid Techniques for Image Encryption and Decryption by Chowdhary, Chiranji Lal, Patel, Pushpam Virenbhai, Kathrotia, Krupal Jaysukhbhai, Attique, Muhammad, P, Kumaresan, Ijaz, Muhammad Fazal

“…The majority of imaging techniques use symmetric and asymmetric cryptography algorithms to encrypt digital media. Most of the research works contributed in the…”
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An Optimized Framework for WSN Routing in the Context of Industry 4.0 by Rani, Shalli, Koundal, Deepika, Kavita, Ijaz, Muhammad Fazal, Elhoseny, Mohamed, Alghamdi, Mohammed I

“…The advancements in Industry 4.0 have opened up new ways for the structural deployment of Smart Grids (SGs) to face the endlessly rising challenges of the 21st…”
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Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest by Ijaz, Muhammad, Alfian, Ganjar, Syafrudin, Muhammad, Rhee, Jongtae

“…As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study…”
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AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions by Nair, Pranav, Vakharia, Vinay, Shah, Milind, Kumar, Yogesh, Woźniak, Marcin, Shafi, Jana, Fazal Ijaz, Muhammad

“…The present study proposes a novel method for predicting the discharge capabilities of lithium-ion (Li-ion) batteries using a digital twin model in practice…”
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Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks by Rani, Pooja, Kavita, Verma, Sahil, Kaur, Navneet, Wozniak, Marcin, Shafi, Jana, Ijaz, Muhammad Fazal

“…The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT model using the concept of artificial intelligence. The Black Hole…”
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