Latest submissions
Now showing items 61-80 of 359
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SIW-based frequency-adjustable antenna for IoT-based duplex wireless devices
(Elsevier GmbH, 2024)This paper proposes a compact and frequency-adjustable/reconfigurable dielectric (DR)-loaded eighth-mode substrate integrated waveguide (EMSIW) antenna for duplex wireless communications. The miniaturization of the resonators ... -
A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)Fifth-generation (5G) mobile networks have already marked their presence globally, revolutionizing entertainment, business, healthcare, and other domains. While this leap forward brings numerous advantages in speed and ... -
Thermal radiative flow of cross nanofluid due to a stretched cylinder containing microorganisms
(Walter de Gruyter GmbH, 2023-01)Due to its widespread applications in areas including heat exchangers, cancer therapy, heat storage devices, biomedicine, and biotechnology, nanofluid has become one of the most important fluids in thermal engineering. One ... -
Genetic algorithm optimization of heliostat field layout for the design of a central receiver solar thermal power plant
(Elsevier Ltd, 2023-11)The heliostat field layout in a central receiver solar thermal power plant has significant optical losses that can ultimately affect the overall output power of the plant. In this paper, an optimized heliostat field layout ... -
Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)The intricate and multifaceted nature of diabetes disrupts the body’s crucial glucose processing mechanism, which serves as a fundamental energy source for the cells. This research aims to predict the occurrence of diabetes ... -
Detection of butane and propane gases via C2N sensors: first principles modeling
(Nature Research, 2023)Gas sensing is a critical research area in aerospace, military, medical, and industrial environments, as it helps prevent risks to human health and the environment caused by toxic gases. Propane and butane, commonly used ... -
Reduced-cost microwave modeling using constrained domains and dimensionality reduction
(Nature Research, 2023-12)Development of modern microwave devices largely exploits full-wave electromagnetic (EM) simulations. Yet, simulation-driven design may be problematic due to the incurred CPU expenses. Addressing the high-cost issues ... -
A New ANN Technique for Short-Term Wind Speed Prediction Based on SCADA System Data in Turkey
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-10)The restored interest now receives renewable energy due to the global decline in greenhouse gas emanations and fossil fuel combustion. The fasted growing energy source, wind energy generation, is recognized as a clean ... -
Iterative Investigation Of Korteweg–De Vries Equation Using AB Derivative In Caputo Sense
(World Scientific, 2023)This paper is devoted to investigate Korteweg-De Vries equations (KDVEs) with third order under fractional Atangana-Baleanu-Caputo (ABC) derivative. We use an analytical method due to the Laplace transform and the Adomian ... -
A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model
(Tech Science Press, 2023-08-30)Due to the inherent insecure nature of the Internet, it is crucial to ensure the secure transmission of image data over this network. Additionally, given the limitations of computers, it becomes even more important to ... -
AI-Enabled Framework for Mobile Network Experimentation Leveraging ChatGPT: Case Study of Channel Capacity Calculation for η-µ Fading and Co-Channel Interference
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-10)Artificial intelligence has been identified as one of the main driving forces of innovation in state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios, relying on predictive models for ... -
Selection of effective combination of time and frequency features using PSO-based technique for monitoring oil pipelines
(Elsevier B.V., 2023-11-01)Pipeline installation is a time-consuming and expensive process in the oil sector. Because of this, a pipe is often utilized to carry diverse petroleum products; hence, it is crucial to use a precise and dependable control ... -
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
(Tech Science Press, 2023)Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ... -
A multiband SSr diode RF rectifier with an improved frequency ratio for biomedical wireless applications
(Nature Research, 2023-12)This paper described a four-band implantable RF rectifier with simplified circuit complexity. Each RF-rectifier cell is sequentially matched to the four operational frequencies to accomplish the proposed design. The proposed ... -
Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis
(King Saud bin Abdulaziz University, 2023-09)Aspect-based sentiment analysis refers to the task of determining the sentiment polarity associated with particular aspects mentioned in a sentence or document. Previous studies have used attention-based neural network ... -
Optimization of fuzzy rules using neural network to control mobile robot in non-structured environment
(Institute of Advanced Engineering and Science, 2023-10)It is still a challenge for all authors to control an autonomous mobile robot in an unstructured environment. The purpose of this paper is to propose a new control method for mobile robots in unstructured environments using ... -
A Fast Surrogate Model-Based Algorithm Using Multilayer Perceptron Neural Networks for Microwave Circuit Design
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)This paper introduces a novel algorithm for designing a low-pass filter (LPF) and a microstrip Wilkinson power divider (WPD) using a neural network surrogate model. The proposed algorithm is applicable to various microwave ... -
Enhancement of Pre-Trained Deep Learning Models to Improve Brain Tumor Classification
(Slovene Society Informatika, 2023)The early detection of brain tumors is crucial due to their highly dangerous nature and the potential for life-threatening consequences if left undiagnosed. Brain tumors significantly shorten life expectancy and cause ... -
Assessing Secure OpenID-Based EAAA Protocol to Prevent MITM and Phishing Attacks in Web Apps
(Tech Science Press, 2023)To secure web applications from Man-In-The-Middle (MITM) and phishing attacks is a challenging task nowadays. For this purpose, authentication protocol plays a vital role in web communication which securely transfers data ... -
An efficient deep learning model for brain tumour detection with privacy preservation
(John Wiley and Sons Inc, 2023)Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems ...