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Bikram Pratim Bhuyan

Researcher

Université Paris-Saclay

France

Research Interests

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About

Dr. Bikram Pratim Bhuyan serves as the Head at École Centrale d'Électronique in France. His research primarily focuses on optimization algorithms, neural network techniques, and knowledge representation in various applications, particularly in smart agriculture and human activity recognition. Recent articles authored by Dr. Bhuyan reflect his expertise in Manta Ray Foraging Optimization, unmanned aerial vehicles, and the development of knowledge graphs for urban agriculture.

Articles (18)

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2026

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2022

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2022

Collaborators (2)

Manolo Dulva HINA

Associate Professor

FRANCE

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Galina Ivanova

Assoc. Prof

university of ruse “angel kanchev”

BULGARIA

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Bikram Pratim Bhuyan

Research Interests

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About

Articles (18)

Simplicial Topology for Knowledge Graph Embeddings

C'est Bon: Contrastive Explanation for Multi-Class Graph Neural Networks

An informed monotone neural network for multi-stage chronic kidney disease prediction with integrated GFR estimation

Applications in Neural and Symbolic Artificial Intelligence

Temporal motif-based representation learning on continuous-time dynamic graphs

A Comprehensive Survey of Manta Ray Foraging Optimization: Theory, Variants, Hybridization, and Applications

Power consumption model for Unmanned Aerial Vehicles using Recurrent Neural Network techniques

CU-1: A Class-Agnostic Detection Transformer Bridging Large Language Models and Big Data Interface Understanding

Geometric Model Merging for Efficient and Scalable Adaptation of Large Language Models

Learning Directed Knowledge Using Higher-Ordered Neural Networks: Building a Predictive Framework

On Hypergraph Neural Networks and Their Stability Towards Higher-Order Knowledge Representation and Learning

A Monadic Second-Order Temporal Logic framework for hypergraphs

NeSyKHG: Neuro-Symbolic Knowledge Hypergraphs

UrbanAgriKG: A knowledge graph on urban agriculture and its embeddings

Crop Type Prediction: A Statistical and Machine Learning Approach

A Systematic Review of Knowledge Representation Techniques in Smart Agriculture (Urban)

Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches

Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches

Collaborators (2)

Manolo Dulva HINA

Galina Ivanova

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