This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …

This study presents an extensive analysis of ten emerging swarm intelligence metaheuristic
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …

The recent advancements in science, engineering, and technology have facilitated huge
generation of datasets. These huge datasets contain noisy, redundant, and irrelevant …

Advances in algorithms and low-power computing hardware imply that machine learning is
of potential use in off-grid medical data classification and diagnosis applications such as …

Natural fibers were given a lot of respect over synthetic ones in terms of sustainability.
Application of natural fibers is superior to synthetics because they can be achieved cheaply …

Two major interconnectivity technologies that are present in the contemporary digital era,
namely, BlockChain (BC) technology and IOTA are compared in this paper. After this, their …

Develo** successful embedded vision applications necessitates a detailed review of
various algorithmic optimization trade-offs and a wide variety of hardware design options …

Abstract Crow Search Algorithm (CSA) is a swarm-based single-objective optimizer
proposed in recent years, which tried to inspire the behavior of crows that hide foods in …

This paper uses a nine-transistor full adder model to design an eight-bit ripple carry adder
for less power consumption. The conventional full adder design consists of 28 transistors …

This study develops an automated liver disease detection system using a support vector
machine and random forest detection techniques. These techniques are trained on data …