Proshanta Sarkar

Abstract: Brain Electrical Oscillation Signature Profiling (BEOSP), also referred to as Brain fingerprinting developed by Dr. Farwell in 1991, is a neuro-psychological method used for studying the response of the Brain to the presence or absence of a piece of information. It is based on the detection of P300 or P300 MERMER response elicited on enco...

Abstract: Deep learning is a powerful tool for optimizing clinical image analysis. By leveraging the capabilities of deep learning algorithms, medical professionals can improve the accuracy and speed of image analysis and reduce the need for manual intervention. This paper will discuss the potential applications of advanced deep-learning techniques...

This survey paper describes a literature review of deep learning (DL) methods for cyber security applications. A short tutorial-style description of each DL method is provided, including deep autoencoders, restricted Boltzmann machines, recurrent neural networks, generative adversarial networks, and several others. Then we discuss how each of the D...

UNIT-I Problem Solving by Search-I: Introduction to AI, Intelligent Agents Problem Solving by Search –II: Problem-Solving Agents, Searching for Solutions, Uninformed Search Strategies: Breadth-first search, Uniform cost search, Depth-first search, Iterative deepening Depth-first search, Bidirectional search, Informed (Heuristic) Search Strategies:...

Focused on different types of Machine Learning Algorithms and their applications.

In recent years, artificial intelligence (AI) has made significant progress in various fields, including biochemistry. One area where AI has the potential to revolutionize is in the analysis of biochemical structures. This paper aims to explore the current state of AI in biochemical structure analysis and the potential for future development. First...

This article explores the intersection of Arduino programming and biosensor development in the context of drug transport. It highlights the significance of Arduino as a powerful tool for coding and controlling biosensors, enabling precise monitoring and dynamic control in drug delivery systems. The article discusses the integration of biosensors wi...

Smart materials design and machine learning have emerged as powerful tools in the field of chemistry, revolutionizing the discovery and development of new materials. This paper explores the intersection of smart materials design and machine learning, highlighting their potential for innovation in chemistry. By leveraging machine learning techniques...

Machine learning has emerged as a powerful tool in chemical synthesis, enabling prediction, optimization, and discovery of novel reactions and compounds. This paper provides an overview of the applications of machine learning in chemical synthesis, including reaction prediction, optimization, retrosynthetic analysis, catalyst design, materials disc...

Machine learning (ML) has emerged as a powerful tool in quantum chemistry, offering new ways to accelerate scientific discovery and design processes. This abstract presents an overview of the applications of ML in quantum chemistry, highlighting its impact on the field. ML techniques enable the prediction of molecular properties, such as energy lev...

The integration of artificial intelligence (AI) into bionic eye technology has led to significant advancements in the field of visual prostheses. Bionic eyes have the potential to restore vision in individuals with various types of vision loss, such as retinitis pigmentosa and macular degeneration. However, traditional bionic eye technologies have...

Abstract In the real world, humans communicate with each other to share their thoughts or feelings. Here VSP (Virtual Smart Phone) is introduced to connect both the Physical and virtual worlds. VSP supports natural hand gestures, Hand movement and the Internet. VSP users can communicate with each other by Virtual mobile phone. The touch gesture...

Fish biomechanics and bioelectricity are fascinating subjects that have attracted researchers from various disciplines. Fish possess unique adaptations that allow them to move and maneuver efficiently in aquatic environments, and to produce and utilize electric fields for multiple purposes. Recent developments in these areas of study are explored i...

The Arctic region contains a plethora of recoverable hydrocarbon wealth in the form of oil and gas in existing conventional wells and other undiscovered fields. The main challenges faced in the Arctic region are both environmental and operational. Some environmental challenges are low ambient temperature, winterization, severity and unpredictabilit...

Fish biomechanics and bioelectricity are complex and fascinating areas of study that have attracted the attention of researchers from a variety of disciplines. Fish have unique adaptations that allow them to swim and maneuver efficiently in their aquatic environments, and to generate and use electric fields for a variety of purposes. This review ex...

This paper explores the use of Cauchy's Integral Theorem in the analysis of cell division. Cauchy's Integral Theorem is a powerful mathematical tool that has been applied in various scientific and engineering fields. In recent years, it has been employed in the study of biological systems, including the complex process of cell division. By providin...

This paper explores the use of applied mathematical modelling in the field of evolutionary biochemistry. The authors demonstrate how mathematical models can be applied to better understand the complex processes of evolution and biochemistry, and provide insights into the mechanisms of evolutionary change. The study uses a range of mathematical tech...

Abstract: In recent years, the computer has proven to be the most practical device. It can carry out a wide range of functions, including receiving, processing, and creating relevant outcomes for data. The computer, however, is a machine and cannot function independently. Even anything as easy as adding two integers requires programming on the part...

The intelligent construction robots similar to the human brain are known as artificial intelligence (AI In computer engineering, artificial intelligence (AI) is the learning of Expert Systems, these are machines that are aware of their environment and take action to improve their chances of success. Artificial Intelligence is a term used to describ...