A5057204095- Smart Agriculture and AI
- Antenna Design and Analysis
- Nausea and vomiting management
- Date Palm Research Studies
- Anesthesia and Pain Management
- Radiation Detection and Scintillator Technologies
- Neutrino Physics Research
- Metamaterials and Metasurfaces Applications
- Spectroscopy and Chemometric Analyses
- Ethics and Social Impacts of AI
- Literary Theory and Cultural Hermeneutics
- Wireless Sensor Networks and IoT
- Leaf Properties and Growth Measurement
- Impact of AI and Big Data on Business and Society
- Ultra-Wideband Communications Technology
- Cultural Studies and Interdisciplinary Research
- Jungian Analytical Psychology
- Intraoperative Neuromonitoring and Anesthetic Effects
- Machine Learning and ELM
- Intraocular Surgery and Lenses
- Handwritten Text Recognition Techniques
- Water resources management and optimization
- Neural Networks and Applications
- Vagus Nerve Stimulation Research
- Radioactive contamination and transfer
Lovely Professional University
2021-2024
Graphic Era University
2021-2024
Parul University
2024
Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya
2024
University of Toronto
2023
Kent State University
2023
University of Ottawa
2023
University of Utah
2023
McMaster University
2023
Carnegie Mellon University
2020
Background— We hypothesize that left-sided low-level vagus nerve stimulation (LL-VNS) can suppress sympathetic outflow and reduce atrial tachyarrhythmias in ambulatory dogs. Methods Results— implanted a neurostimulator 12 dogs to stimulate the left cervical radiotransmitter for continuous recording of stellate ganglion activity, vagal activities, ECGs. Group 1 (N=6) underwent week LL-VNS. 2 intermittent rapid pacing followed by active or sham LL-VNS on alternate weeks. Integrated activity...
The ubiquity of WiFi devices combined with the ability to cover large areas, pass through walls, and detect subtle motions makes signals an ideal medium for sensing occupancy. While extremely promising, existing solutions have not been rigorously tested outside lab environments don't often consider real-world constraints associated non-expert installers, cost-effective platforms long-term changes in environment. This paper presents M-WiFi, a user-in-the-loop self-tuning framework WiFi-based...
Convolutional neural networks (CNNs) are successfully used for solving image classification tasks. Manually designing efficient network architecture requires expertise in CNN and domain knowledge. In this paper, a novel approach is proposed automatically evolving using big bang–big crunch (BB–BC) algorithm. The can be to evolve obtain tuned hyper-parameters CNN. validated the 5932 on-field rice leaf images infected with bacterial blight, blast, brown spot tungro diseases. performed better...
Choosing significant features of on-field plant images and effectively classifying diseases is a challenging endeavor. This owing to the complexities images, which can be influenced by wide range variables such as illumination, soil conditions, growth phases, environmental influences. Feature selection regarded an optimization problem employing efficient optimizer choose informative feature subset from more extensive set features. The noisy, redundant, irrelevant dataset impede image...
In image processing, developing efficient, automated, and accurate techniques to classify images with varying intensity level, resolution, aspect ratio, orientation, contrast, sharpness, etc. is a challenging task. This study presents an integrated approach for classification by employing transfer learning feature selection using principal component analysis (PCA) reduction. The PCA algorithm employed reducing the dimensionality of features extracted VGG16 model obtain handful speeding up...
One of the major challenges faced by Augmented Reality (AR) systems is linking virtual content accurately on physical objects and locations. This problem amplified for applications like mobile payment, device control or secure pairing that requires authentication. In this paper, we present an active LED tag system called GLITTER uses a combination Bluetooth Low-Energy (BLE) modulated LEDs to anchor AR with no priori training labeling environment. Unlike traditional optical markers encode...
Out of the 1.5 billion ha (11% world’s land surface 13.4 ha) cropland worldwide, 1.20 (80%) is rainfed, and 60 percent food comes from rainfed areas. In India, agriculture occupies about 51 country’s net sown area accounts for nearly 40 total production. HP, over 10% state under cultivation, which 81% facing frequent water scarcity. Watershed development constitutes a holistic strategy aimed at enhancing resilience productivity farming systems. This approach integrates various interventions...
Food security, environmental stability, and agricultural output are all significantly impacted by plant health. Expert visual inspection is a common component of traditional health assessment techniques, although it can be laborious, subjective, prone to human mistake. Using advances in computer vision machine learning, there has been an increasing interest applying deep learning techniques for automated diagnosis recent years. This study provides thorough analysis learning- based detection...
To communicate between vehicles running on highway a wireless technology should be applied which will enable the potential to avoid collision.This paper discusses method of sharing information using laser beam detection.The speed and distance is obtained BLINDER detector according commands driving decided.This system provides warning message basis data by detector.If within safety limit, alert tone activated.While crosses threshold distance, this reduce automatically.
In the recent decade, plant disease classification using convolution neural networks has proven to be superior because of its ability extract key features. Obtaining optimum feature subset with necessary discriminant information is challenging. The main objective this paper design an efficient hybrid selection approach and validate it on standard image datasets. raw input features were transformed into 8192 learned by employing VGG16. To reduce training time enhance accuracy, dimensionality...
The Clediocranial dysplasia is a dominant autosomal inheritance disease which actually rare in occurrence. This has no race or gender predilection. Dental surgeons are usually the first professional to come across this disease, as patient visit dentist with chief complaint of missing teeth one most common clinical feature associated . In series also reposted us complain teeth. article we presenting case dysplasia.
The growing use of artificial intelligence (AI) in marketing poses several ethical concerns. Marketers must ensure the secure and productive application customer data when using intelligence. Moreover, despite its supposed impartiality, they acknowledge probability partiality within AI. To practice, engineers marketers should take measures such as respecting consumer privacy, verifying accuracy preventing algorithmic bias. Numerous kinds research have demonstrated biases facial recognition...