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This paper compares the efficacy of classical topic modeling approaches namely the Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) with their respective word embedding enhanced techniques. The LDA and NMF are based on word frequency and co-occurrence patterns, but ignore the semantic similarity between words. To address these limitations, the proposed methods enhance the LDA and NMF with Word2Vec embeddings by capturing the semantic relationships, and overseeing ...
This paper provides deep learning techniques for Super Resolution (SR) of a single infrared image. Recent advancements in deep learning have significantly enhanced SR techniques. Infrared (IR) image super-resolution holds great potential for improving applications like object detection and classification by recovering finer image details. In this work, we propose a Generative Adversarial Network (GAN)-based model tailored for IR image SR utilizing residual blocks, subpixel convolutions and ba...
Oil-in-water (O/W) emulsions in food products can reduce the high intake of solid fats and hence can be used as a fat substitute. It is also used for the enhancement of textural attributes of food products, encapsulation and control release of the bioactives. However, emulgels fabricated solely by protein shows less stability against environmental factors like pH and temperature and is more prone to lipid oxidation. This study explores the development of deccan hemp seed protein-based emulgel...
The need for novel modulation techniques has increased significantly because of the data throughput requirements, reliability, and flexibility of fifth-generation (5G) cellular systems. The wireless cellular networks beyond 5G and sixthgeneration (6G) aim to assist reliable communications in highspeed applications. Orthogonal time frequency space (OTFS), the recently proposed modulation technique has emerged as a potential solution to fulfill the diverse requirements of futuregeneration wirel...
In the deltaic region of the Sundarbans, India, human settlements have traditionally relied on constructing embankments along riverbanks to prevent flooding in inhabited areas. These embankments often experience toe undercutting due to swirling currents, tidal surges, and strong winds, which eventually leads to their failure. To mitigate erosion, bamboo logs are commonly used to cover the embankment face, as bamboo is locally abundant and cost-effective. However, field investigations reveal t...
The primary aim of this study is to design and analyze an Energy Management System (EMS) for a DC motor drive. The system under consideration features a primary energy source, a Fuel Cell (FC) supplemented by a battery storage system. Battery supplements power requirements during starting and energy recovery through regenerative braking. The system has two DC-DC converters: one unidirectional boost converter connected to FC and another bidirectional converter connected to the battery for both...
Background: Traditional knowledge is defined broadly as a cumulative, collective body of knowledge, experience, and values held by societies with a subsistence history. Traditional knowledge-based medicine (TKBM) has a long history across the globe, including India, and traditional healthcare systems have thrived for centuries. However, indigenous medical practices have been severely challenged by the influence of modern-day medical sciences and technologies, which also have their advantages ...
SMEs in developing countries play a significant role in overall economic growth. However, their growth is often hindered by limited access to credit, as it plays a vital role in shaping the performance of SMEs. Therefore, the primary purpose of the study is to analyse the determinants affecting SMEs' credit availability based on the World Bank Enterprise Survey data. The study used a probit regression model on a sample of 2771 Indian manufacturing SMEs to examine the various determinants that...
Groundwater is a vital source of freshwater, playing a crucial role in agriculture and economic development. Accurate groundwater level (GWL) prediction is essential for sustainable water resource management. As soft computational data-driven technologies have advanced in recent years, numerous machine learning models have been created and are being used for GWL forecasting. ML models are more desirable than physically based and numerical methods because they can simulate and predict GWL with...
In the era where digital innovation dictates the pace of financial services, the role of fintech investments in shaping bank profitability has never been more critical. This rapid rise has affected the operations of banks. This study investigates the relationship between fintech investment by banks and their financial performance over the years 2015-2023. Using panel data of 12 Nifty listed Indian scheduled commercial banks. Firstly, the fintech investment index is constructed by analyzing th...
Fractional quantum mechanics extends conventional quantum theory by introducing fractional calculus, offering a powerful framework to explore nonlocal and anomalous diffusion effects in quantum systems. In this work, we propose the development of fractional quantum gates by applying the principles of fractional quantum mechanics. Fractional quantum gates are very useful for faster computation as fractional gates are reducing the circuit depth of quantum workload. We develop the mathematical f...
Surfactants, commonly present in greywater from domestic sources such as showers and washing machines, represent a significant emerging contaminant that poses risks to water quality and ecosystem health. Their extensive application in cleaning products raises important environmental and public health issues. This study investigates the potential of Jamun leaf (JL) powder as a natural coagulant for removing surfactants from synthetic Wastewater. Controlled experiments were carried out using a ...
Compared to bulk water, confined water exhibits unique properties, making it particularly fascinating to study, especially in terms of phase transitions. Investigating confined water systems holds significant importance for various reasons, including gaining insights into biological processes. Additionally, free energy calculations during phase transitions are crucial for understanding chemical and biochemical phenomena such as macromolecular stability, protein folding, molecular solvation, a...
This study empirically investigates the impact of intellectual property rights protection on Indian bilateral emigration and inward FDI stock using a balanced panel dataset considering India as a reporting country with 71 partner countries for the period 2007-2023. The empirical estimation of the study employs both the single equation model technique, such as the Poisson pseudo-maximum likelihood estimator, and the simultaneous equations model technique, such as the three-stage least squares ...
We introduce two uncertainty measures, say weighted past varentropy (WPVE) and weighted paired dynamic varentropy (WPDVE). Several properties of these proposed measures are studied. In addition, the non-parametric kernel estimates of the WPVE and WPDVE are proposed. Furthermore, the maximum likelihood estimation technique is employed to estimate WPVE and WPDVE for an exponential population. The performance of the non-parametric and parametric estimators of the WPVE and WPDVE is compared in te...
Rice is grown extensively in many parts of the world at different times of the year under different climatic conditions. Rice is the most essential cereal crop that forms a major part of the human diet and is hence popularly called "Global grain". With the increasing trend of the rising human population, it’s high time to have crops with high yield potential and stability. Making the rice-based production system sustainable is crucial for the future food security of mankind. Rice blast is one...
Vitamin D3 deficiency is now considered to be a global issue. Last few years, Vitamin D3 testing has exponentially increased in recent years by using old conventional methods. In this study, we developed a carbon dot (CDs)--based biosensor for easy and hassle-free detection of Vitamin D3 in food samples. It has very stable physiochemical properties and outstanding optical characteristics. A simple one-step hydrothermal green synthesis has been used to fabricate the biosensor by using i.e., Be...
Introduction Hydrogels are 3D polymeric networks that can swell in the aqueous medium. Because of their water-absorbing capacity, non-toxicity, and biocompatibility, they have applications in bioengineering, drug delivery and separation processes. The gel matrix has the property to govern the diffusion of foreign particles within its network. So, it is vital to understand the parameters that affect solute diffusion as they have applications in many fields. In the present study, acrylamide-co-...
Introduction Hydrogels are special type of soft materials having biomimetic and biocompatibility properties due to their three dimensional porous network structure and large water content. So they have gathered much attention for their applicability especially in the field of tissue engineering and drug delivery. However, most hydrogels are mechanically weak which limits their applications requiring toughness. Recent research shows, some specifically designed double network (DN) hydrogels, sh...
Millet analogue rice was made from pearl millet, sorghum, and parboiled rice using extrusion technology. The impact of extrusion process conditions in terms of screw speed (540- 900 rpm), feed rate (5- 9 kg/h), and die temperature (80- 100◦C) and materials moisture content (28- 32 %wb) on cooking characteristics viz. water absorption ratio (WAR), cooking losses (CL) and cooking time (CT), and physiochemical properties viz. water solubility index (WSI) and water absorption index (WAI) were ass...
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