Remote sensing object recognition in natural settings presents significant challenges, particularly with small targets and intricate backdrops. The RAST-YOLO algorithm addresses these challenges by combining the Regio...
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There is an urgent need to locate satellite interference sources using a single signal receiving platform. This paper proposes a satellite-ground collaborative angle of arrival / time difference of arrival combination...
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Automatic speech recognition (ASR) plays a crucial role in facilitating natural and efficient human–computer interaction. This paper offers a comprehensive review of ASR systems tailored specifically for the Gujarati...
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Aiming at the problem of high demodulation error rate of Automatic Identification System (AIS) signals under low signal-to-noise ratio conditions, which leads to information interpretation failure, a joint coherent de...
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Advancements in medical imaging have led to an increasing demand for accurate and efficient methods of brain tumor classification. This study delves into the realm of nature-inspired optimization algorithms, with a fo...
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The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the ...
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The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the circumvention of the bandwidth restriction for small *** parameters have recently been predicted using machine learning algorithms in existing *** learning can take the place of the manual process of experimenting to find the ideal simulated antenna *** accuracy of the prediction will be primarily dependent on the model that is *** this paper,a novel method for forecasting the bandwidth of the metamaterial antenna is proposed,based on using the Pearson Kernel as a standard *** with these new approaches,this paper suggests a unique hypersphere-based normalization to normalize the values of the dataset attributes and a dimensionality reduction method based on the Pearson kernel to reduce the dimension.A novel algorithm for optimizing the parameters of Convolutional Neural Network(CNN)based on improved Bat Algorithm-based Optimization with Pearson Mutation(BAO-PM)is also presented in this *** prediction results of the proposed work are better when compared to the existing models in the literature.
In recent years, Internet of Things (IoT) technology is employed in diverse areas especially in healthcare, where sensors and IoT assisted medical devices transfer data without any human intervention towards the healt...
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In recent years, Internet of Things (IoT) technology is employed in diverse areas especially in healthcare, where sensors and IoT assisted medical devices transfer data without any human intervention towards the healthcare experts to provide the proper treatments if required. Internet of Things (IoT) refers to connecting various devices through the internet. IoT allows people to distantly control and management of things people use through internet infrastructure. In healthcare applications, many tiny devices are utilized for healthcare data collection and transmission. After the advent of IoT in homes, health care, companies, private corporations, privacy and security of data are major concern. This issue poses a challenge to the proliferation of IoT as reports of hackers stealing user’s information have intensified. Therefore, there is a necessity for efficient and reliable data aggregation while preserving the data integrity and privacy of the patients. To overcome this problem a new methodology Water Wheel Archimedes Optimization Algorithm + Resilient consensus algorithm_ Bidirectional Long Short Term Memory (WWAOA + Resilient consensus_BiLSTM) is proposed to detect malicious node and packet in IoT. In beginning, Internet of Things (IoT) simulation is executed and after that, Cluster head (CH) selection is done using Waterwheel Archimedes Optimization Algorithm (WWAOA) that is the amalgamation of Waterwheel Plant Algorithm (WWPA) and Archimedes Optimization Algorithm (AOA) by considering fitness parameters including distance, energy, link quality, various trust factors and delay. Thereafter, secure routing is done utilizing same method WWAOA with same fitness functions. At last, data aggregation is carried out employing Bidirectional Long Short Term Memory (BiLSTM), where resilient consensus algorithm is used with adaptive weightage based on malicious nodes and packet profile. Before beginning the data aggregation process, the trust level of nodes will be checke
This paper presents the Spacer engineering Dual Oxide Gate L shaped Tunnel Field Effect Transistor (SDOG LTFET) incorporating Buried Oxide (BOX) in 10nm technology. The proposed device employs an extended source and d...
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The current version of QUIC (Quick UDP Internet Connection) does not allow for prioritized bandwidth allocation of multiple streams. In this letter, we propose a novel framework, Performance-oriented Congestion Contro...
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This study presents a unique and basic decoupling technique to enhance isolation between two circular antennas that are separated by a small distance and have a common substrate. The disconnection can be done by attac...
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