A5100649148- Advanced Queuing Theory Analysis
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
- Opportunistic and Delay-Tolerant Networks
- Advanced MIMO Systems Optimization
- IoT and Edge/Fog Computing
- UAV Applications and Optimization
- Aluminum Alloys Composites Properties
- Innovative concrete reinforcement materials
- Video Surveillance and Tracking Methods
- Advanced ceramic materials synthesis
- Bamboo properties and applications
- Advanced Battery Materials and Technologies
- Extraction and Separation Processes
- Mobile Ad Hoc Networks
- Advancements in Battery Materials
- Millimeter-Wave Propagation and Modeling
- Advanced Neural Network Applications
- Microwave-Assisted Synthesis and Applications
- Energy Efficient Wireless Sensor Networks
- Pharmacy and Medical Practices
- Intravenous Infusion Technology and Safety
- Recycled Aggregate Concrete Performance
- Belt Conveyor Systems Engineering
National Institute of Technology Arunachal Pradesh
2022-2025
Indian Institute of Technology Kanpur
2024
Maharaja Engineering College
2021-2024
Motilal Nehru National Institute of Technology
2024
ITM University
2023-2024
Applied Materials (United States)
2023
UCLouvain
2022
Maharshi Dayanand Saraswati University
2021
University of Amsterdam
2019
Chinese Academy of Sciences
2019
The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by VOT initiative. Results of 81 trackers are presented; many state-of-the-art published at major computer vision conferences or in journals recent years. evaluation included standard and other popular methodologies for short-term tracking analysis as well methodology long-term analysis. was composed five challenges focusing on different domains: (i) VOTST2019 focused RGB, (ii)...
In mountainous regions, bamboo has emerged as a favored local reinforcement material for concrete owing to its accessibility and cost-effectiveness. Despite their potential, the absence of proper design guidelines bamboo-reinforced structures complicates assessment deflection behavior under varying loads. Issues such bond failure, shrinkage, corrosion, uncertainties in strength further exacerbate these challenges. To address issues, this study introduces novel approach using an extreme...
The growth in linked and autonomous vehicles has led to the emergence of vehicular ad hoc networks (VANETs) as a means enhance road safety, traffic efficiency, passenger comfort. However, VANETs face challenges facilitating trustworthiness high-quality services due communication delays caused by traffic, dynamic topology changes, variable speeds, other influencing factors. Hence, there is need for reliable data dissemination scheme capable reducing among hops identifying effective forwarder...
<p>The rise of connected and autonomous vehicles has resulted in the development vehicular ad hoc networks (VANETs) as a means improving road safety, traffic efficiency, passenger comfort. However, VANETs present challenges to achieving reliability service quality suffered highly by broadcast storms due their mobility, scalability, high node density. By addressing such challenges, this paper seeks contribute solving problem efficient information dissemination diluting storm coverage...
Artificial intelligence (AI) has transformed human computer interaction (HCI) by providing unprecedented levels of personalization and adaptivity. This research study discusses about the potential AI in HCI, including advanced natural language processing, seamless integration with Internet Things (IoT) devices, use emotion recognition. However, increasing utilization AIresult various challenges terms data privacy, bias, job displacement. As such, it is essential for researchers developers to...
The dataset of bamboo compressive strength (BCS) is not publicly accessible. To the author's understanding, this first concerning BCS. This has been formed through gathering randomly selected species specimens that are readily available near National Institute Technology, Arunachal Pradesh, located in Jote, India (coordinates 27°09′N 93°43′E). comprises five input features: specimen cross-sectional area (A), dry weight (W), average density (ρ), modulus elasticity (MoE), outer diameter (D),...
A sincere and ingenious effort has been made towards addressing the localization problem in modern world by marrying primary well established inter-vehicular communication assisted (IVCAL) using GPS method to newly devised previous path detection (PPD) technology. The outcome is a new robust methodology combining two systems standalone benefits of absolute relative location methods respectively. proposed system includes GPS, Kalman Filter, IVCAL PPD as basic building blocks. architecture...
The objective of the study is to investigate efficient packet transfer among vehicles in smart city. With evolution Intelligent Transportation Systems (ITS), Vehicle (V2V) communication becoming more prominent for safety and non-safety related applications. V2V facilitates interconnect with each other support numerous applications that will be highly helpful drivers passenger's welfare. However, due extreme dynamic nature transportation, Vehicular Ad hoc Network (VANET) faces many challenges...
In today’s information age society, where activities are highly interdependent and intertwined, sharing of resources hence waiting in queues is a common phenomenon that occurs every facet our lives. Flowshop scheduling with an objective minimising the makespan also important task manufacturing system. The present paper attempt to establish linkage network consisting biserial server two parallel servers linked series multistage flow shop arrival service pattern follow Poisson law. completion...
The proliferation of PCS has necessitated the complete characterization radio channels existing inside buildings.The indoor channel differs from conventional mobile in two aspects.First all distances taken account are a lot small, and then inconsistency environment is much larger for smaller range distance between transmitter receiver.Indoor use wireless systems poses one major design challenges, as (RF) propagation essentially complex phenomenon.In this paper we will try to emphasis on odd...
This paper is an attempt to study the steady state analysis of a complex network queues in which common server linked series with each two parallel biserial servers. The arrival and service pattern follows Poisson law. generating function technique, law calculus statistical tools have been used find various queue characteristics. model finds its application decision making, process industry, banking system, communication networking, supermarkets, healthcare centre many administrative setups....
Concrete is now an essential building material for creation of any type structural elements, including inflexible pavement as well beams, columns, slabs, bridges, and girders. Cement the most binding component in manufacture concrete because, when combined with water, it can bind both Coarse Aggregate (CA) Fine (FEA). The terms (BKD FA, which have certain qualities mixed are waste products, indicated by paper's title. researcher's objective to show how FA BKD percentages 0%, 10%, 20%, 30%,...
Abstract Biometric characteristics are playing a vital role in security for the last few years. Human gait classification video sequences is an important biometrics attribute and used purposes. A new framework human using deep learning (DL) fusion assisted posterior probability‐based moth flames optimization (MFO) proposed. In first step, frames resized fine‐tuned by two pre‐trained lightweight DL models, EfficientNetB0 MobileNetV2. Both models selected based on top‐5 accuracy less number of...
Purpose The purpose of this research was to develop and evaluate a machine learning (ML) algorithm accurately predict bamboo compressive strength (BCS). Using dataset 150 samples with features such as cross-sectional area, dry weight, density, outer diameter, culm thickness load, various ML algorithms including artificial neural network (ANN), extreme (ELM) support vector regression (SVR) were tested. ELM outperformed others, showing superior accuracy based on metrics like R2, MSE, RMSE, MAE...