"Faheem, Muhammad" - Selaus tekijän mukaanArtikkelit
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Factors Influencing the Adoption of Industrial IoT for the Manufacturing and Production SMEs in Developing Countries
(The Institution of Engineering and TechnologyJohn Wiley & Sons Ltd, 16.01.2024)
articleSmall and Medium Enterprises (SMEs) are steadily moving in the direction of implementing digital and smart technologies, including the Industrial Internet of Things (IIoT) for improving their products and services. The ... -
Fault detection through discrete wavelet transform in overhead power transmission lines
(John Wiley & Sons, 28.09.2023)
articleTransmission lines are a very important and vulnerable part of the power system. Power supply to the consumers depends on the fault-free status of transmission lines. If the normal working condition of the power system is ... -
High-Precision Identification of Power Quality Disturbances Based on Discrete Orthogonal S-Transforms and Compressed Neural Network Methods
(IEEE, 11.08.2023)
articlePower quality disturbances (PQDs) occur as the use of non-linear load and renewable-based micro-grids increases. This paper presents a new algorithm that consists of the discrete orthogonal S-transform (DOST) in the feature ... -
Intelligent Modeling and Optimization of Solar Plant Production Integration in the Smart Grid Using Machine Learning Models
(Wiley, 24.01.2024)
articleTo address the rising energy demands in industrial and public sectors, integrating zero-carbon emission energy sources into the power grid is crucial. Smart grids, equipped with advanced sensing, computing, and communication ... -
Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation
(IEEE, 09.12.2022)
articleAn accurate amount of fertilizer according to the real-time context is the basis of precision agriculture in terms of sustainability and profitability. Many fertilizers recommendation systems are proposed without considering ... -
Internet of Things Based Weekly Crop Pest Prediction by Using Deep Neural Network
(IEEE, 03.08.2023)
articleInternet of Things (IoT) assisted application in agriculture shows tremendous success to improve productivity in agriculture. Agriculture is grappling with issues such as depleted soil fertility, climate-related hazards ... -
Joint Beamforming and Power Allocation Design in Cooperative MIMO-NOMA Networks
(IEEE, 16.08.2024)
articleDue to its improved spectral efficiency, non-orthogonal multiple access (NOMA) is regarded as a promising multiple access technology for beyond fifth-generation (5G) networks. In this paper, we examine the performance of ... -
Joint delay and energy aware dragonfly optimization-based uplink resource allocation scheme for LTE-A networks in a cross-layer environment
(The Institution of Engineering and Technology, 31.01.2024)
articleThe exponential growth in data traffic from smart devices has led to a need for highly capable wireless networks with faster data transmission rates and improved spectral efficiency. Allocating resources efficiently in a ... -
K-means online-learning routing protocol (K-MORP) for unmanned aerial vehicles (UAV) adhoc networks
(Elsevier, 23.11.2023)
articleUnmanned Aerial Vehicles (UAVs) have become a hot topic due to their flexible architecture adopted in many wireless technologies. In UAV ad hoc networks, traditional routing protocols with a fixed topology are ineffective ... -
Lyme rashes disease classification using deep feature fusion technique
(Wiley-Blackwell, 06.11.2023)
articleAutomatic classification of Lyme disease rashes on the skin helps clinicians and dermatologists’ probe and investigate Lyme skin rashes effectively. This paper proposes a new in-depth features fusion system to classify ... -
Machine learning autoencoder-based parameters prediction for solar power generation systems in smart grid
(The Institution of Engineering and TechnologyJohn Wiley & Sons, 03.01.2024)
articleDuring the fourth energy revolution, artificial intelligence implementation is necessary in all fields of technology to meet the increasing energy demands and address the diminishing fossil fuel reserves, necessitating the ... -
Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features : A quantitative clinical study
(John Wiley & Sons, 25.10.2023)
articleOsteoporosis is a skeletal disease that is commonly seen in older people but often neglected due to its silent nature. To overcome the issue of osteoporosis in men and women, we proposed an advanced prediction model with ... -
Modeling of Inscribed Dual Band Circular Fractal Antenna for Wi-Fi Application Using Descartes Circle Theorem
(John Wiley & Sons, 17.10.2024)
articleThis study focuses on the modeling of a dual-band circular fractal antenna designed for Wi-Fi applications by utilizing the Descartes Circle Theorem. The antenna's geometry is characterized by self-similar fractal patterns, ... -
Mouth and oral disease classification using InceptionResNetV2 method
(Springer, 03 / 2024)
articleDigital tools have greatly improved the detection and diagnosis of oral and dental disorders like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with potentially malignant oral disorders. ... -
Multilayer Cyberattacks Identification and Classification Using Machine Learning in Internet of Blockchain (IoBC)-Based Energy Networks
(Elsevier, 09.05.2024)
articleThe world's need for energy is rising due to factors like population growth, economic expansion, and technological breakthroughs. However, there are major consequences when gas and coal are burnt to meet this surge in ... -
Neuro-Fuzzy Based High-Voltage DC Model to Optimize Frequency Stability of an Offshore Wind Farm
(MDPI, 09.07.2023)
articleLack of synchronization between high voltage DC systems linking offshore wind farms and the onshore grid is a natural consequence owing to the stochastic nature of wind energy. The poor synchronization results in increased ... -
Secure medical image transmission using deep neural network in e-health applications
(The Institution of Engineering and Technology, 19.07.2023)
articleRecently, medical technologies have developed, and the diagnosis of diseases through medical images has become very important. Medical images often pass through the branches of the network from one end to the other. Hence, ... -
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
(Wiley-Blackwell, 15.11.2023)
articleIntroduction Particularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of skin lesion analysis, CAD systems play a ... -
Smart performance optimization of energy-aware scheduling model for resource sharing in 5G green communication systems
(The Institution of Engineering and Technology, 18.02.2024)
articleThis paper presents an analysis of the performance of the Energy Aware Scheduling Algorithm (EASA) in a 5G green communication system. 5G green communication systems rely on EASA to manage resource sharing. The aim of the ... -
Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach
(Elsevier, 12.10.2023)
articleReference Evapotranspiration (ET) is the cornerstone of efficient water utilization for sustainability in agriculture. The standard Penman–Montieth (PM) approach of Reference Evapotranspiration (ET), is complex due to the ...
