Tad Gonsalves

ad Gonsalves obtained the B.Sc degree in theoretical Physics in 1990 and the MSc degree in Astrophysics in 1992 from the Poona University, India. He received the PhD degree in Intelligent Systems from Sophia University, Tokyo in 2004. Currently he is an Associate Professor in the Department of Information & Communication Sciences, Sophia University, Tokyo. His research interests include design of Expert Systems, Fuzzy Systems, Web Mining and Evolutionary Computation.

Publications

A Lightweight System Towards Viewing Angle and Clothing Variation in Gait Recognition
A Lightweight System Towards Viewing Angle and Clothing Variation in Gait Recognition
Jaychand Loknath Upadhyay, Tad Gonsalves, Vijay Katkar. © 2021. 18 pages.
In this paper, the authors have proposed a computationally efficient, robust, and lightweight system for gait recognition. The proposed system contains two main stages: In the...
Increasing Energy Efficiency by Optimizing the Electrical Infrastructure of a Railway Line Using Fireworks Algorithm
Increasing Energy Efficiency by Optimizing the Electrical Infrastructure of a Railway Line Using Fireworks Algorithm
David Roch-Dupré, Tad Gonsalves. © 2020. 20 pages.
This chapter proposes the application of a discrete version of the Fireworks Algorithm (FWA) and a novel PSO-FWA hybrid algorithm to optimize the energy efficiency of a metro...
Board Games AI
Board Games AI
Tad Gonsalves. © 2019. 13 pages.
The classical area of AI application is the board game. This chapter introduces the two most prominent AI approaches used in developing board game agents—the MinMax algorithm and...
The Summers and Winters of Artificial Intelligence
The Summers and Winters of Artificial Intelligence
Tad Gonsalves. © 2019. 12 pages.
Artificial intelligence (AI) is a branch of computer science whose aim is to make computers intelligent. These “intelligent” activities include thinking, reasoning, receiving...
Board Games AI
Board Games AI
Tad Gonsalves. © 2018. 12 pages.
The classical area of AI application is the board games. This chapter introduces the two most prominent AI approaches used in developing board game agents – the MinMax algorithm...
The Summers and Winters of Artificial Intelligence
The Summers and Winters of Artificial Intelligence
Tad Gonsalves. © 2018. 10 pages.
Artificial Intelligence (AI) is a branch of Computer Science whose aim is to make computers intelligent. These “intelligent” activities, include thinking, reasoning, receiving...
Two Diverse Swarm Intelligence Techniques for Supervised Learning
Two Diverse Swarm Intelligence Techniques for Supervised Learning
Tad Gonsalves. © 2016. 13 pages.
Particle Swarm Optimization (PSO) and Enhanced Fireworks Algorithm (EFWA) are two diverse optimization techniques of the Swarm Intelligence paradigm. The inspiration of the...
Optimizing Software Development Cost Estimates Using Multi-Objective Particle Swarm Optimization
Optimizing Software Development Cost Estimates Using Multi-Objective Particle Swarm Optimization
Tad Gonsalves, Kei Yamagishi, Ryo Kawabata, Kiyoshi Itoh. © 2010. 20 pages.
Software development projects are notorious for being completed behind schedule and over budget and for often failing to meet user requirements. A myriad of cost estimation...