IEEE Kharagpur Section

High-dimensional data can be challenging to work with because the number of variables can make it difficult to visualize, explore, and analyze the data. Additionally, high-dimensional datasets can be more susceptible to overfitting, where a model performs well on the training data but poorly on new data, due to the large number of variables. Techniques such as feature selection, dimensionality reduction, and regularization can help address these challenges. Meta-heuristic based feature selection is a technique used to select the most relevant features from a high-dimensional dataset. Meta-heuristics are optimization algorithms that are designed to find near-optimal solutions to complex problems. Meta-heuristic based feature selection has several advantages. It can handle high-dimensional datasets and can effectively select the most relevant features while reducing overfitting. Additionally, meta-heuristic algorithms are flexible and can be easily adapted to different types of models and fitness functions. Here we will discuss how to extract the optimal set of features from meta-heuristic based feature selection approaches in high dimensional datasets. Speaker(s): Dr. Pradip Dhal, Virtual: https://events.vtools.ieee.org/m/363094

With the advent of commercial products, such as the Apple iWatch and Samsung Galaxy Gear, body-centric communication has increasingly garnered public attention and smoothly translated state-of-the-art research work into reality. However, challenges still remain, and these are often fundamental physical hurdles that need to be further explored and investigated to come up with efficient and scalable solutions applicable to many fields and areas. This becomes an important research area when you look at the scale or rather the multiple scales it needs to work at, from body-size or larger networks to the nano-scale, where there have been lots of interest recently on how to get nano-devices inside tissues and even inside intelligent materials around us. The talk will present recent development in the area of antennas, RF devices, and electromagnetic solutions for applications such as healthcare and biomedical engineering with the application of textile and flexible substrates in realizing those advanced concepts. Co-sponsored by: IEEE AP-MTTS SBC IIT Kharagpur Speaker(s): Dr. Akram Alomainy , Virtual: https://events.vtools.ieee.org/m/362795

With the advent of commercial products, such as the Apple iWatch and Samsung Galaxy Gear, body-centric communication has increasingly garnered public attention and smoothly translated state-of-the-art research work into reality. However, challenges still remain, and these are often fundamental physical hurdles that need to be further explored and investigated to come up with efficient and scalable solutions applicable to many fields and areas. This becomes an important research area when you look at the scale or rather the multiple scales it needs to work at, from body-size or larger networks to the nano-scale, where there have been lots of interest recently on how to get nano-devices inside tissues and even inside intelligent materials around us. The talk will present recent development in the area of antennas, RF devices, and electromagnetic solutions for applications such as healthcare and biomedical engineering with the application of textile and flexible substrates in realizing those advanced concepts. Co-sponsored by: IEEE AP-MTTS SBC IIT Kharagpur Speaker(s): Dr. Akram Alomainy , Virtual: https://events.vtools.ieee.org/m/362795

With the advent of technology, there is an increase in demand for channel bandwidth, leading to the requirement of high frequencies for communication. In this talk, some modern day aspects and trends of high frequency communication will be presented. Emphasis will be given to applications like radio astronomical techniques, terahertz communication, etc., where the electromagnetic spectrum plays a critical role. The applications from the Indian scenario point of view will also be discussed in the talk. Co-sponsored by: IEEE AP-MTTS SBC IIT Kharagpur Speaker(s): Prof. Somak Bhattacharyya, Bldg: E&ECE Department, NKN Room, IIT Kharagpur, Kharagpur, West Bengal, India, 721302