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9 results on '"Dutta, Madhulika"'

1. Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information

Author

Pendyala, Vishnu S. and Dutta, Madhulika

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Misinformation is still a major societal problem and the arrival of Large Language Models (LLMs) only added to it. This paper analyzes synthetic, false, and genuine information in the form of text from spectral analysis, visualization, and explainability perspectives to find the answer to why the problem is still unsolved despite multiple years of research and a plethora of solutions in the literature. Various embedding techniques on multiple datasets are used to represent information for the purpose. The diverse spectral and non-spectral methods used on these embeddings include t-distributed Stochastic Neighbor Embedding (t-SNE), Principal Component Analysis (PCA), and Variational Autoencoders (VAEs). Classification is done using multiple machine learning algorithms. Local Interpretable Model-Agnostic Explanations (LIME), SHapley Additive exPlanations (SHAP), and Integrated Gradients are used for the explanation of the classification. The analysis and the explanations generated show that misinformation is quite closely intertwined with genuine information and the machine learning algorithms are not as effective in separating the two despite the claims in the literature.

Published
2024

6. Disposable Biochip Cartridge for Clinical Diagnostics Toward Point-of-Care Systems

Author

Ahn, Chong H., Choi, Jin-Woo, Puntambekar, Aniruddha, Hong, Chien-Chong, Zhu, Xiaoshan, Gao, Chuan, Trichur, Ramachandran, Chilukuru, Srikanth, Dutta, Madhulika, Murugesan, Suresh, Kim, Sanghyo, Sohn, Young-Soo, Nevin, Joseph H., Beaucage, Gregory, Lee, Jeong-Bong, Lee, Jae Y., Bissell, Michael G., Baba, Yoshinobu, editor, Shoji, Shuichi, editor, and van den Berg, Albert, editor

Published
2002
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8. Environmental assessment and nano-mineralogical characterization of coal, overburden and sediment from Indian coal mining acid drainage

Author

10059571 - Waanders, Frans Boudewijn, Dutta, Madhulika, Waanders, Frans B., Saikia, Jyotilima, Taffarel, Silvio R., De Medeiros, Diego, 10059571 - Waanders, Frans Boudewijn, Dutta, Madhulika, Waanders, Frans B., Saikia, Jyotilima, Taffarel, Silvio R., and De Medeiros, Diego

Abstract

The deterioration of environmental conditions is the major contributory factor to poor health and quality of life that hinders sustainable development in any region. Coal mining is one of the major industries that contribute to the economy of a country but it also impacts the environment. The chemical parameters of the coal, overburden, soil and sediments along with the coal mine drainage (CMD) were investigated in order to understand the overall environmental impact from high sulphur coal mining at northeastern coalfield (India). It was found that the total sulphur content of the coal is noticeably high compared to the overburden (OB) and soil. The volatile matter of the coal is sufficiently high against the high ash content of the soil and overburden. The water samples have a High Electrical Conductivity (EC) and high Total Dissolve Solid (TDS). Lower values of pH, indicate the dissolution of minerals present in the coal as well as other minerals in the mine rejects/overburden. The chemical and nano-mineralogical composition of coal, soil and overburden samples was studied using a High Resolution-Transmission Electron Microscopy (HR-TEM), Energy Dispersive Spectroscopy (EDS), Selected-Area Diffraction (SAED), Field Emission-Scanning Electron Microscopy (FE-SEM)/EDS, X-ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Raman and Ion-Chromatographic analysis, and Mössbauer spectroscopy. From different geochemical analysis it has been found that the mine water sample from Ledo colliery has the lowest pH value of 3.30, Tirap colliery samples have the highest electrical conductivity value of 5.40 ms cm−1. Both Ledo and Tirap coals have total sulphur contents within the range 3–3.50%. The coal mine water from Tirap colliery (TW-15B) has high values of Mg2+ (450 ppm), and Br− (227.17 ppm). XRD analysis revealed the presence of minerals including quartz and hematite in the coals. Mineral analysis of coal mine overburden (OB) indicates the presence both

Published
2017

9. DESIGN OF AN INTEGRATED DETECTION SYSTEM FOR THE CHARACTERIZATION OF A BIOSENSOR ARRAY

Author

DUTTA, MADHULIKA

Subjects
biosensor, ASIC
Abstract

The need for immediate health monitoring, arising in situations like war or emergency call for the development of devices that do instant clinical screening to determine the levels of metabolic parameters in human blood. The University of Cincinnati-DARPA team has been working on the development of such a system, a wrist-watch type blood analyzer for clinical analysis. The key specification of such a system would be its portability apart from high precision, low power consumption and low noise. A multi-layered surface mount technology board was developed and tested with a biosensor array. However, to attain the goal of wrist–watch size analyzer Application Specific Integrated Circuits (ASIC) were developed so as to take advantage of chip-scale integrable technologies that could be used to decrease the size of the board even further. This work focuses on development of specialized detection systems for the analyzer. The systems use the principle of amperometric measurement to detect these parameters in a sample fluid. This detection system has been designed into an analog ASIC. This ASIC has been realized in an AMI-ABN 1.5µm Bi-CMOS process using MOSIS Foundry service. The ASIC has been simulated and tested for relevant environmental conditions and the design information and the results presented.

Published
2003

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