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Publication Filling streamflow data gaps in Indian catchments using machine learning and K‐Means clustering(American Geophysical Union (AGU), 2026-03-01)Reliable and continuous water level and streamflow records are essential for accurate hydrological modeling and informed water resource management, yet observations often suffer from substantial data gaps. Existing data gap-filling methods use observations from upstream or nearby stations with local climate records. However, their applicability to long-term, large-scale hydrological networks over diverse climate zones with extended data gaps remains limited. Here, we develop a robust framework that integrates geomorphological, meteorological, and hydrological parameters with the Quantile Regression Forests to fill the gaps in daily streamflow observations at 343 stations across Peninsular India from 1961 to 2021. To reconstruct the streamflow at ungauged locations, we employed transfer learning through k-means clustering to group hydromorphologically similar catchments. Our data gap-fill method performs well with Nash-Sutcliffe Efficiency (NSE) of more than 0.8 at 72% and 90% of stations for water level and streamflow, respectively. We found that 50 and 100-year return period events are highly sensitive to data gaps, often leading to significant under- or overestimation by more than 40%. Overall, the gap-filled streamflow and water-level data sets for the 1961–2021 period provide a robust foundation for hydrological modeling, climate change impact assessments, and water resource planning across Peninsular India. - Some of the metrics are blocked by yourconsent settings
Publication On semimonotone matrices of exact order two(Informa UK Limited, 2026-02-27)In this paper, we introduce the notion of (strictly) semimonotone matrices of exact order k, where 0≤𝑘≤𝑛, and explore their properties. We fully characterize the 3×3 (strictly) semimonotone matrices of exact order 2, and show that the class of 3×3 semimonotone matrices of exact order 2 forms a subclass of inverse 𝐙-matrices. We further investigate 𝑛×𝑛 (strictly) semimonotone matrices of exact order 2, with emphasis on their identification and construction, and establish that every 𝑛×𝑛 semimonotone 𝐙-matrices of exact order 2 is invertible. Additionally, we show that when n−k=1, the class of (strictly) semimonotone matrices of exact order k is a subclass of 𝐙-matrices. - Some of the metrics are blocked by yourconsent settings
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Publication FDTD-based design and optimization of multilayer cavity structures for efficient telecom-band single-photon sources(Institute of Electrical and Electronics Engineers, 2025-12-13) - Some of the metrics are blocked by yourconsent settings
Publication Hybrid software-FPGA RRAM-crossbar array platform for in-memory computing with bit-slicing architecture(Institute of Electrical and Electronics Engineers, 2025-12-13)
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Publication Spotlighting the sensitivities of Hyper-Kamiokande, DUNE and ESSνSB(2018-12-01)Neutrino oscillation physics has entered the precision era and the potential forthcoming experiments Hyper-Kamiokande (T2HK / T2HKK), Deep Under-ground Neutrino Experiment (DUNE) and The European Spallation Source ν-Beam (ESSνSB) project are expected to strengthen this endeavour in the future. In this paper we perform a comprehensive study of the octant, mass hierarchy and CP discovery sensitivities of T2HK / T2HKK, DUNE and ESSνSB project in their individual capacity. We present a comparative account of the probabilities at the respective baselines and explore in detail the physics issues which can cause the differences in the sensitivities among the various experiments. We also find out the optimal exposure required by these experiments for achieving 5σ hierarchy, octant sensitivity and to discover CP violation at 5σ for 60% values of δCP, stand alone and in conjunction with the on going T2K and NOνA experiments. In addition, we study the hierarchy and CP sensitivities of DUNE and T2HK in combination with ESSνSB.Scopus© Citations 17 - Some of the metrics are blocked by yourconsent settings
Publication Existence of solutions to fully nonlinear elliptic equations with gradient nonlinearity(2017-10-01)In this article, we study the existence and multiplicity of nontrivial solutions to the problem (formula presented) where Ω is a smooth bounded domain in ℝn, n > 2. We show that the problem possesses nontrivial solutions for small value of ε provided f and ψ are continuous and f has a positive zero. We employ degree theory arguments and Liouville type theorem for the multiplicity of the solutionss.Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Publication Thermodynamic and Kinetic Assessment of Mediated Hydrazine Electro-Oxidation in Nonaqueous Medium(2025-08-07)Hydrazine oxidation reaction (HzOR) provides an energy-efficient alternative to the oxygen evolution reaction (OER), yielding carbon-free products and minimizing catalyst poisoning. While hydrazine oxidation has been extensively researched in aqueous environments, it remains less explored in organic solvents, and it gains importance because of the recent advancement of ammonia oxidation in nonaqueous media. This study investigates the oxidation of hydrazine in acetonitrile using decamethylferrocene (Fc''), a stable, electron-donating ferrocene derivative. The research focused on reaction kinetics, revealing a first-order dependence on the concentrations of both Fc’’ and hydrazine. Additionally, the impact of pyridine-derived bases on HzOR was examined. Mechanistic insights were developed, and temperature-dependent studies indicated a 4.79 kJ/mol activation barrier for the mediated HzOR. The overpotential for HzOR under the given conditions is found to be 829 mV, which was determined through open-circuit potential (OCP) measurements. Quantitative analyses of the gaseous products were performed, which revealed quantitative hydrogen production. This study significantly adds to the existing literature on HzOR by providing crucial data on its behavior in an organic medium. - Some of the metrics are blocked by yourconsent settings
Publication Neural network based block-level detection of same quality factor double JPEG compression(2020-02-01)Detecting double JPEG compression with the same quality factor is an open research problem in image forensics. The subtle artifacts of double JPEG compression with the same quantization matrices are often indistinguishable by traditional approaches such as histogram-based feature extraction. Existing approaches fail to effectively classify smaller size patches, due to the absence of sufficient information at smaller scales. To tackle this, we propose a new feature based on the difference of quantized DCT coefficients, which is relatively invariant to the size of the image or image patch. For classification, we utilize the multi-layer-perceptron (MLP) network. We compare our results on multiple patch sizes and quality factors, on the UCID dataset with the existing approaches. Using our proposed feature in conjugation with the existing feature vector along with the use of MLP, we observed a maximum of 1.52% increase in accuracy for smaller sized patches (128 × 128), compressed with a quality factor of 60.Scopus© Citations 11 - Some of the metrics are blocked by yourconsent settings
Publication Application of Twin-Screw Melt Granulation to Overcome the Poor Tabletability of a High Dose Drug(2022-12-01)Pharmaceutical tablet manufacturing has seen a paradigm shift toward continuous manufacturing and twin-screw granulation-based technologies have catalyzed this shift. Twin-screw granulator can simultaneously perform unit operations like mixing, granulation, and drying of the granules. The present study investigates the impact of polymer concentration and processing parameters of twin-screw melt granulation, on flow properties and compaction characteristics of a model drug having high dose and poor tabletability. Acetaminophen (AAP) and polyvinylpyrrolidone vinyl acetate (PVPVA) were used as a model drug (90–95% w/w) and polymeric binder (5–10%w/w), respectively, for the current study. Feed rate (~650–1150 g/h), extruder screw speed (150–300 rpm), and temperature (60–150°C) were used as processing variables. Results showed the reduction in particle size of drug in the extrudates (D90 of 15–25 μm from ~80 μm), irrespective of processing condition, while flow properties were a function of polymer concentration. Overall, good flowability of the products and their tablets with optimum tensile strength can be obtained through using high polymer concentration (i.e., 10% w/w), lower feed rate (~650 g/h), lower extruder screw speed (150 rpm), and higher processing temperatures (up to 120°C). The findings from the current study can be useful for continuous manufacturing of tablets of high dose drugs with minimal excipient loading in the final dosage form.Scopus© Citations 6