Paper Title

THE ROLE OF MACHINE LEARNING IN ADVANCING ARTIFICIAL INTELLIGENCE SYSTEMS

Abstract

The application of “machine learning” and “artificial intelligence” has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to specify the contribution of machine learning to artificial intelligence. We review relevant literature and present a conceptual framework which clarifies the role of machine learning to build (artificial) intelligent agents. Hence, we seek to provide more terminological clarity and a starting point for (interdisciplinary) discussions and future research. The advancements in AI have been fueled by significant improvements in computing power, data availability, and algorithmic developments, enabling machines to perform complex tasks and learn from vast datasets. This article covers major areas of AI advancement, including machine learning, natural language processing, computer vision, robotics, and AI ethics. As AI\'s impact on society and the economy becomes increasingly pronounced, it is essential to understand the potential of AI for innovation and progress while addressing its challenges to harness its full potential for the greater good.
KEYWORDS : Artificial Intelligence (AI), Advancement, Evolution, Ethical Considerations, Machine Learning

Paper Title

A STUDY ON CUTTING TECHNIQUES AND APPLICATIONS OF ELECTRICAL DISCHARGE MACHINING

Abstract

In electrical discharge machining (EDM) the machining characteristics of the process directly depend on the discharge energy which is transformed into heat in the machining area. The generated thermal energy leads to high temperatures which result in local melting and evaporation of workpiece material. However, the high temperature also impacts various physical and chemical properties of tool and workpiece. Process parameters and machining characteristics of EDM are identified in this study. Based on the previous investigations, an analytical dependence was established between the parameters of discharge energy and technological performance. In addition, properties of discharge energy were experimentally investigated and their influence on productivity, accuracy and quality of EDM was established. Productivity and quality are two important aspects have become great concerns in today’s competitive global market. Every production/manufacturing unit mainly focuses on these areas in relation to the process as well as product developed. Electrical discharge machining (EDM) process, even now it is an experience process, wherein still the selected parameters are often far from the maximum, and at the same time selecting optimization parameters is costly and time consuming. The results obtained represent a technological knowledge base for the selection of optimal conditions of EDM process.
KEYWORDS : electrical discharge machining (EDM), high temperatures, parameters of discharge energy, workpiece material, near-dry WEDM.

Paper Title

A COMPREHENSIVE OVERVIEW OF DIOPHANTINE EQUATIONS, INCLUDING EARLY SOLUTIONS AND FAMOUS CONJECTURES, TRACING THEIR ORIGINS

Abstract

Solving the Diophantine equation has fascinated mathematicians from various civilizations. In this paper, we propose the resolution of quadratic Diophantine equations with integer coefficients. Our contribution consists of generalizing certain results which have already been developed in the literature. This paper also proposes the criterion on the solvability of the quadratic Diophantine equation here studied. We consider the Diophantine equation of the title which was re- cently solved, in terms of the number of solutions to it for a 2 {1,2,4}, in (1). However, a counterexample was provided in (6). We provide another coun- terexample and show that both the example herein and the one in (6) are results of Ljunggren (7) from the early 1940s. Given that these are all the omissions from (1), this secures the study of the equation in the title. For relatively prime D1,D2 2 N (the natural numbers), D = D1D2, k 2 N, prime to D, ‚ 2 {1, p 2,2}, with ‚ = 2 if k is even, the Diophantine equation (1) D1x2 + D2 = ‚2kn; x,n 2N
KEYWORDS : Biquadrates; Quartic diophantine equation, Homogeneous Ternary Quadratic, Integral solutions

Paper Title

EFFECT OF MAIZE COB ASH AND LECA ON THE FRESH AND FLEXURAL STRENGTH OF LIGHTWEIGHT CONCRETE

Abstract

India, being one of the largest maize-producing nations, generates vast amounts of maize cobs as agricultural waste. When maize cobs are burned for energy production or disposal, they result in maize cob ash (MCA), a byproduct that poses significant environmental challenges due to improper disposal. At the same time, the global demand for cement continues to rise, contributing to high energy consumption and increased carbon emissions. To mitigate these environmental concerns, researchers are exploring sustainable alternatives by incorporating industrial byproducts like MCA as supplementary cementitious materials in concrete. Utilizing MCA not only aids in effective waste management but also enhances the properties of concrete, making it a viable solution for sustainable construction. Lightweight concrete has gained importance in modern construction due to its reduced density, improved thermal insulation, and enhanced durability compared to conventional concrete. One of the widely used lightweight aggregates is Light Expanded Clay Aggregate (LECA), which is known for its low density and high strength. This study investigates the fresh-stage properties and flexural strength of lightweight concrete by incorporating LECA as a partial replacement for coarse aggregate and MCA as a partial replacement for cement. The research evaluates the workability, density, and setting time of the fresh concrete mix while assessing flexural performance at the hardened stage. A series of experimental investigations are conducted to analyze how these modifications influence the overall mechanical properties of concrete. The results of this study provide insights into optimizing lightweight concrete mixtures for structural applications, promoting sustainability, and reducing dependency on conventional materials without compromising performance.
KEYWORDS : Maize Cob Ash, LECA, Mineral Admixture, Lightweight Aggregate.