A5055245950- Energy Harvesting in Wireless Networks
- Energy Efficient Wireless Sensor Networks
- Advanced Welding Techniques Analysis
- Anomaly Detection Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Machine Learning and Data Classification
- Metal Forming Simulation Techniques
- Big Data and Business Intelligence
- Customer churn and segmentation
- Indoor and Outdoor Localization Technologies
- Bone health and osteoporosis research
- Metabolomics and Mass Spectrometry Studies
- Advanced Machining and Optimization Techniques
- Brain Tumor Detection and Classification
- Educational Technology and Pedagogy
- Hand Gesture Recognition Systems
- Data Stream Mining Techniques
- Stochastic Gradient Optimization Techniques
- Optical Wireless Communication Technologies
- Vehicle License Plate Recognition
- Handwritten Text Recognition Techniques
- Advanced Wireless Network Optimization
- Advanced Sensor and Energy Harvesting Materials
- Wireless Communication Networks Research
- Bone and Joint Diseases
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
2022
National Institute of Technology Patna
2019
Rajasthan Technical University
2019
Punjab Engineering College
2018
National Institute of Technology Kurukshetra
2016-2017
University of Bergen
2006
<title>Abstract</title> Shopsense simplifies the shopping process for users. It is a web-based application that will extract prices from various online websites and give top 5 e-commerce offering low prices. also be able to predict price of product we are searching based on previous history it visualization chart future recommend products in related our search results. The system integrates web scraping APIsto retrieve data, employs ResNet-50 model image-based classification, utilizes ARIMA...
Myoelectric control has a wide range of potential applications including the design human-machine interfaces for assistive technologies and robotics (prostheses orthoses) as well powered exoskeletons. The current work focuses on Extreme Gradient Boosting - one most popular pattern recognition strategies decoding information surface electromyography (sEMG) signals to infer underlying muscle movements. In EMG signal based controller design, it is now quite well-established that position...
Wireless sensor networks equipped with tiny and low powered nodes are susceptible to failures due harsh surroundings. The operation of sensors becomes quite difficult when obstacles present in the deployment area. Due these obstacles, restoration lost connectivity WSN is a challenging task as well computational intensive. Therefore, we proposed meta-heuristic solution for connectivity. We use alpha shapes detect boundary shape obstacles. Further, Grey Wolf Optimizer (GWO) used optimize relay...
Relay node placement problem is a very well-known of Wireless Sensor Networks. Many techniques (heuristics and algorithms) have been proposed to solve this problem. However, few meta-heuristics suggested till now. In paper, we discuss meta-heuristic for relay which are not explored yet. This paper also shows our idea implementation these algorithms in A crisp comparison described paper.
Decision tree classifiers are regarded to be a standout of the most well-known methods data classification representation classifiers. Different researchers from various fields and backgrounds have considered problem extending decision available data, such as machine study, pattern recognition, statistics. In medical disease analysis, text classification, user smartphone images, many more employment has been proposed in ways. This paper provides detailed approach trees. Furthermore,...
The widespread use of social media has led to an alarming increase in cyberbullying incidents, causing significant psychological and emotional distress victims.This project aims address this pressing issue by leveraging advanced deep learning techniques, specifically Long Short-Term Memory (LSTM) networks, detect instances posts.While existing research primarily focuses on established languages, there remains a notable gap resources for emerging languages.Thus, seeks bridge developing robust...
Disease diagnostics using proteomic patterns is a new platform that developed to detect early-stage cancer. Proteomic pattern analysis uses the overall diagnose disease states without need identify components within pattern. The are generated from mass spectrometry (MS) data, and an algorithm decipher data discriminate between serum taken healthy cancer-affected individuals. There for cancer biomarkers with more accurate diagnostic capability. Use of MS such technique. Mass human consist...
The failure rate of sensor nodes in Heterogeneous Wireless Sensor Networks is high due to the use low battery-powered a hostile environment. this kind become non-operational and turn into disjoint segmented networks large-scale failures nodes. This may require placement additional highpower relay In paper, we propose network partition recovery solution called Grey Wolf, which an optimizer algorithm for repairing heterogeneous wireless networks. proposed provides not only strong...
As we know wireless broadband internet is very popular in modern era.For Broadband internet, speed big issue and it a hot research area for researchers to focus on this area.WiMAX (worldwide interoperability Microwave Access) networks are the which capable providing BWA(broadband with high speed.A WiMAX has one base station (BS) or more subscriber (SS).IEEE 802.16 standard gives QOS parameter traffic.It offers five categories prioritize traffic.Five classes traffic can be divided.These VoIP,...