Genetic algorithm (GA) is one of most popular evolutionary search algorithms that simulates
natural selection of genetic evolution for searching solution to arbitrary engineering …

Approximate computing involves selectively reducing the number of transistors in a circuit to
improve energy savings. Energy savings may be achieved at the cost of reduced accuracy …

Deep learning algorithms are used in various advanced applications, including computer
vision, large language models and many others due to their increasing success over …

Parser plays a very important role in computational linguistics. In this paper, here we
describe a parsing technique for Bangla grammar recognition. The parser is, by nature, a …

Hardware Trojans (HTs) are malicious hardware components designed to leak confidential
information or cause the chip/circuit on which they are integrated to malfunction during …

We introduce functionality-cognizant Genetic Algorithms (GAs) and graph-based operators
to tackle the challenging search landscape of combinational digital circuit design. We …

This study aims to enable deep learning models on resource constrained devices
considering system and application requirements. The proven success of deep learning …

Evolvable hardware (EHW) has recently become a highly attractive topic for the Fault-
tolerant System design because it offers a way of adapting hardware to different …

An Indexed Bibliography of Genetic Algorithms & Evolvable Hardware and FPGAs Page 1
An Indexed Bibliography of Genetic Algorithms & Evolvable Hardware and FPGAs compiled …

As environmental concerns and portability of electronic devices move to the forefront of
priorities, innovative approaches which reduce processor energy consumption are sought …