A cutting-edge idea known as the Internet of Things (IoT) connects different physical items with the online environment. IoT technology is expanding quickly and will soon have an important encounter on how we live our everyday lives. IoT ...

Humidity sensing has become an essential part of the process industry and the likewise essential device for domestic appliances. Humidity sensors are classified into capacitive and resistive based on their operating principles, capacitance-based ...

In this manuscript, two different topologies are presented for the realization of a conventional filter/inverse filter using the Four Terminal Floating Nullor Transconductance Amplifier. The first topology can synthesize the inverse low-pass, ...

This article presents the implementation of different compensators like PD, PID, PID with Integral ANTI-WINDUP, Neuro-fuzzy controller (Ni-F) and Neuro-fuzzy with PID (NiF-PID) controller with different inputs over the 2-DOF ball balancer system. ...

This paper displays the architecture and implementation of an online voting system that employs Blockchain technology and the InterPlanetary File System (IPFS) to assure safe, transparent, and tamper-proof elections. The offered framework utilizes ...

Protein remote homology detection (PRHD) is crucial for identifying proteins with similar functions and structures despite low sequence identity. Traditional methods, such as the Sequence-Order Frequency Matrix (SOFM), have faced challenges due to ...

The biggest issue many students face in today's world is choosing the right career. Especially when there are so many options available to them and the counselling options available are very limited or not very efficient, Career counselling is a ...

Artificial Intelligence-based system for Tuberculosis (TB) detection has been proposed in this work. Manual diagnostic through radiologists can be misdiagnosis due to human error. Designing an artificial intelligence-based decision support system ...

The use of Restricted Boltzmann machines has been considered in the construction of deep neural networks. One reason for this use is the feature engineering capability of the restricted Boltzmann machine. One of the issues facing deep neural ...

In this work a Compact Circular patch-oriented bio medical antenna is proposed for low SAR applications. The proposed antenna covers bands of both 2.4 GHz and 5. 8 GHz.The structural orientation and star shaped slot in the circular patch gives the ...

New challenges arise in maintaining the reliability, safety, and security of power networks as they expand to include renewable energy sources and interconnect with other areas. Existing and future energy infrastructure were considered, and a ...

In this paper, a textile defect detection method is introduced based on à trous wavelet transform. The processing procedure has two stages: training and testing. In each stage, the images are decomposed using à trous wavelet transform, and the ...

The new paradigm of the Internet of Things (IoT) has attractiveness in healthcare so that it is used for medical purposes such as health monitoring for chronic diseases and caring for the elderly. The use of IoT technology can reduce costs, ...

This paper proposed to design a CMOS based LC-voltage control oscillator using substrate bias effect and low-voltage folded-cascode current mirror circuit using an LC tank circuit at 2.5 GHz oscillation Frequency. The paper delves into the ...

The largest white matter structure in the brain, the corpus callosum (CC), is involved in many disorders of the central nervous system. The extent and/or severity of neurodegenerative illnesses are correlated with its size. Though numerous ...

The understanding of how users in a network update their opinions based on their neighbours’ opinions has attracted a great deal of interest in the field of network science, and a growing body of literature recognises the significance of this ...

This work focus on the classification of skin surface images to identify the psoriatic type. To learn and analysis the deep insight of the psoriatic images a custom Convolutional Neural Network (CNN) developed as a prediction model. Before get ...

In Vehicular Ad Hoc Networks, reliable information transmission relies on an effective routing strategy. Most existing reinforcement learning-based routing methods are ineffective in dynamic network environments and cannot prevent inefficient ...

Since the outbreak of the novel coronavirus, Covid-19 has continuously spread across the globe briskly. Countries have undertaken different types of measures to blunt this spread varying from lockdowns to curfews to social distancing to compulsory ...

Every second, millions of cells within our bodies exchange critical messages. Yet, amidst this swarming molecular dialogue, miscommunications often occur, leading to misdiagnosis and ineffective treatments. Over 30% of therapeutic molecules fail ...