Search Results - "Mondal, M. M."

Hybrid deep learning for detecting lung diseases from X-ray images by Bharati, Subrato, Podder, Prajoy, Mondal, M. Rubaiyat Hossain

“…Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely…”
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CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images by Mondal, M Rubaiyat Hossain, Bharati, Subrato, Podder, Prajoy

“…This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus disease (COVID-19). The novelty of this work is in the introduction…”
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Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms by Raihan-Al-Masud, Md, Mondal, M Rubaiyat Hossain

“…This paper focuses on the application of machine learning algorithms for predicting spinal abnormalities. As a data preprocessing step, univariate feature…”
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Removal of Pb(II) ions from aqueous solution using activated tea waste: Adsorption on a fixed-bed column by Mondal, M.K.

“…An inexpensive and effective adsorbent was developed from waste tea leaves for the dynamic uptake of Pb(II). Characterization of the adsorbents showed a clear…”
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Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review by Mondal, M Rubaiyat Hossain, Bharati, Subrato, Podder, Prajoy

“…This paper provides a systematic review of the application of Artificial Intelligence (AI) in the form of Machine Learning (ML) and Deep Learning (DL)…”
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Recycling waste thermoplastic for energy efficient construction materials: An experimental investigation by Mondal, M.K., Bose, B.P., Bansal, P.

“…A large stream of research has studied the performance of waste plastics impregnated concrete, reporting multiple benefits and advocating its use in…”
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RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases by Alam, Fatema Binte, Podder, Prajoy, Mondal, M Rubaiyat Hossain

“…Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases. Computer-aided diagnostic systems (CADs) can help…”
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UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation by Hassan, Riad, Mondal, M Rubaiyat Hossain, Ahamed, Sheikh Iqbal

“…Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiation therapy, and critical robotic surgery. Automatic organ…”
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Microplastic particles in the aquatic environment: A systematic review by Ahmed, Mohammad Boshir, Rahman, Md. Saifur, Alom, Jahangir, Hasan, MD. Saif, Johir, M.A.H., Mondal, M. Ibrahim H., Lee, Da-Young, Park, Jaeil, Zhou, John L., Yoon, Myung-Han

“…Microplastics (MPs) pollution has become one of the most severe environmental concerns today. MPs persist in the environment and cause adverse effects in…”
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A review on progress of heavy metal removal using adsorbents of microbial and plant origin by Srivastava, Shalini, Agrawal, S. B., Mondal, M. K.

“…Heavy metals released into the water bodies and on land surfaces by industries are highly toxic and carcinogenic in nature. These heavy metals create serious…”
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Digital Quantum Simulation of Spin Models with Circuit Quantum Electrodynamics by Salathé, Y., Mondal, M., Oppliger, M., Heinsoo, J., Kurpiers, P., Potočnik, A., Mezzacapo, A., Las Heras, U., Lamata, L., Solano, E., Filipp, S., Wallraff, A.

“…Systems of interacting quantum spins show a rich spectrum of quantum phases and display interesting many-body dynamics. Computing characteristics of even small…”
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Biosorption isotherms and kinetics on removal of Cr(VI) using native and chemically modified Lagerstroemia speciosa bark by Srivastava, Shalini, Agrawal, S.B., Mondal, M.K.

“…•The Lagerstroemia speciosa bark was used first time for biosorption of Cr(VI) from synthetic wastewater without any damage to the plant.•Significant…”
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Machine learning for DCO-OFDM based LiFi by Purnita, Krishna Saha, Mondal, M Rubaiyat Hossain

“…Light fidelity (LiFi) uses different forms of orthogonal frequency division multiplexing (OFDM), including DC biased optical OFDM (DCO-OFDM). In DCO-OFDM, the…”
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Biochar from co-pyrolysis of urban organic wastes—investigation of carbon sink potential using ATR-FTIR and TGA by Nair, Rahul Ramesh, Mondal, Moni M, Weichgrebe, Dirk

“…Urban organic wastes (UOW) strain the infrastructures for solid waste treatment (SWT) in emerging economies. This study investigated biochar gained from three…”
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LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases by Podder, Prajoy, Das, Sanchita Rani, Mondal, M Rubaiyat Hossain, Bharati, Subrato, Maliha, Azra, Hasan, Md Junayed, Piltan, Farzin

“…This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR)…”
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Stability assessment of Himalayan road cut slopes along National Highway 58, India by Siddique, T., Pradhan, S. P., Vishal, V., Mondal, M. E. A., Singh, T. N.

“…Himalaya is one of the most tectonically and seismically active mountain chains in the world having complex geological and geotechnical conditions. The…”
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Analysis of the Effect of Vignetting on MIMO Optical Wireless Systems Using Spatial OFDM by Mondal, M. Rubaiyat H., Armstrong, Jean

“…The performance of pixelated multiple-input mul-tiple-output optical wireless communication systems can be impaired by vignetting, which is the gradual…”
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Geotechnical assessment of cut slopes in the landslide-prone Himalayas: rock mass characterization and simulation approach by Siddique, Tariq, Mondal, M. E. A., Pradhan, S. P., Salman, M., Sohel, M.

“…The roadway networks serve as arteries for the ongoing socio-economic activities within the Himalayan region. The perilous conditions of geologically active…”
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Data analytics for novel coronavirus disease by Mondal, M. Rubaiyat Hossain, Bharati, Subrato, Podder, Prajoy, Podder, Priya

“…This paper describes different aspects of novel coronavirus disease (COVID-19), presents visualization of the spread of the infection, and discusses the…”
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Improved stability and performance of organic photovoltaic cells by application of carbon nanostructures and PEDOT:PSS composites as additional transparent electrodes by Subramanyam, B.V.R.S., Mahakul, P.C., Sa, K., Raiguru, J., Alam, I., Das, S., Mondal, M., Subudhi, S., Mahanandia, P.

“…•Composites of carbon nanomaterials and PEDOT:PSS prepared for transparent electrodes for OPVCs.•Improved conductivity of PEDOT:PSS due to incorporation of…”
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