- Smart Agriculture and AI
- Emotion and Mood Recognition
- Nanoparticle-Based Drug Delivery
- Innovations in Concrete and Construction Materials
- EEG and Brain-Computer Interfaces
- Fungal Plant Pathogen Control
- Telecommunications and Broadcasting Technologies
- Innovative concrete reinforcement materials
- Advanced biosensing and bioanalysis techniques
- Graphene and Nanomaterials Applications
- Spectroscopy and Chemometric Analyses
- Chaos-based Image/Signal Encryption
- Nanocluster Synthesis and Applications
- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Concrete and Cement Materials Research
- Customer churn and segmentation
- Water Quality Monitoring and Analysis
- Morinda citrifolia extract uses
- Energy, Environment, and Transportation Policies
- Carbon and Quantum Dots Applications
- Bamboo properties and applications
- Face Recognition and Perception
- Neuroscience and Neural Engineering
- Pregnancy and preeclampsia studies
Indira Gandhi Delhi Technical University for Women
2022-2025
Indian Institute of Technology Indore
2024-2025
UNSW Sydney
2022-2024
Materials Science & Engineering
2022-2024
Narsee Monjee Institute of Management Studies
2022-2024
Galgotias University
2022-2024
Chandigarh University
2022-2023
ITM University
2023
Infant
2022
Institute of Himalayan Bioresource Technology
2022
Biomaterials have ushered the field of tissue engineering and regeneration into a new era with development advanced composites. Among these, composites inorganic materials organic polymers present unique structural biochemical properties equivalent to naturally occurring hybrid systems such as bones, thus are highly desired. The last decade has witnessed steady increase in research on focus being mimicking peculiar inorganic/organic combination nature. In this review, we discuss recent...
Abstract Current and future diagnostics urgently need imaging agents that are non-toxic superior to clinically used small molecule dyes. Herein, we have developed luminescent green light-emitting carbon dots (GCDs) via a single-step hydrothermal reaction using low-cost chemical precursor, p-toluenesulfonic acid. The GCDs exhibit excitation-independent fluorescence (FL) emission with the photoluminescence quantum yield of 70% no FL quenching up 1.25 mg/mL. negligible cytotoxicity 250 µg/mL...
Maternal health refers to the physical, mental, and emotional well-being of mothers throughout all stages pregnancy, birth, postpartum period. Morbidity death rates during pregnancy are significant statistics because they provide information about accessibility maternal other medical resources. The main reason mortality hemorrhage, high blood pressure, early labor, abortions that performed under dangerous conditions. Machine learning algorithms play a role in determining maternity risks. In...
Abstract: Drug discovery and development (DDD) is a highly complex process that necessitates precise monitoring extensive data analysis at each stage. Furthermore, the DDD both timeconsuming costly. To tackle these concerns, artificial intelligence (AI) technology can be used, which facilitates rapid of datasets within limited timeframe. The pathophysiology cancer disease complicated requires research for novel drug development. first stage in involves identifying targets. Cell structure...
Nanozymes have shown promise in a range of applications including food safety, environmental monitoring, clinical diagnostics, and bioimaging. However, more complex nanozymes require better control over their catalytical properties. Herein, we report peroxidase-like nanozyme that can be activated "on demand". This is based on porous silicon (pSi) particles with nanosized gold inclusion, which are spontaneously generated surface by simple addition solution to pSi particle suspension. The fast...
The quality of water is a vital determinant environmental sustainability, economic development, and general welfare. India has substantial issues, with different areas facing varying levels pollution. Industrial effluents introduce toxic chemicals heavy metals into bodies, while agricultural runoff carries pesticides, fertilizers, sediments, causing eutrophication Ganges, Yamuna, Godavari rivers have elevated amounts According to the Central Pollution Control Board, biochemical oxygen...
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...
There is a plenty of research going on in field object recognition, but state recognition has not been addressed as much. are many important applications which can utilize such as, robotics, to decide for how grab an object. A convolution neural network was designed classify image one its states. The approach used training transfer learning with Inception v3 module GoogLeNet the pre-trained model. model trained images 18 cooking objects and tested another set objects. able those 76% accuracy.
In this paper, after an a review of the previous work done in field, most frequently used approach using Hidden Markov Model (HMM) is for implementation phonetic segmentation.A baseline HMM segmentation tool and analysis speech at level.The results are approximately same as obtained manual segmentation.
Abstract Alternaria blight incurring loss both at pre and post-harvest stages in tomato caused by alternata become an important constraint for producers Rajasthan. The severity of this disease generating significant economic losses crops has been increasing daily the last few years Rajasthan due to environmental changes. Field experiments were carried out examine development relevant weather conditions during zaid 2017 2018 SKNAU Jobner (Jaipur). Results showed that maximum temperature (r=...
Introduction: Mental health of students was affected during COVID-19 pandemic due to fear infection, mandatory lockdown, interruption in academic activities, challenges distance learning, and social isolation. This study aimed assess the level stress coping strategies adopted by undergraduate science Pokhara pandemic. Methods: A cross-sectional design used among from May 2021 November 2021. structured questionnaire developed Google form a link sent participants using email media. Descriptive...
We propose an approach to the OMG-Empathy Challenge for predicting self-annotated, continuous values of valence within range [-1,1]. fusion hand-crafted and deep features, extracted from both actor listener data, predict these levels. The handcrafted features include image level fusion, facial landmarks, spectrogram features. Our proposed can utilized in multiple parts (i.e. sub-modules), specifically generalized track, leading unique submissions address challenge problem. First, images are...
Aims: The research paper aims to understand the trends in consumer beverage consumption, explicitly examining shift towards healthier options such as juices and smoothies. study seeks level of health consciousness among consumers whether it impacts their choice beverage.
 Study Design: A survey was conducted with a sample size 313 respondents across different age groups demographics. Research design conclusive non -probability convenience sampling used collect data from states...