Search Results - "Sarkar, Ram"

Pneumonia detection in chest X-ray images using an ensemble of deep learning models by Kundu, Rohit, Das, Ritacheta, Geem, Zong Woo, Han, Gi-Tae, Sarkar, Ram

“…Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many individuals, especially in developing and underdeveloped nations, where…”
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Mathematical models of malaria--a review by Mandal, Sandip, Sarkar, Ram Rup, Sinha, Somdatta

“…Mathematical models have been used to provide an explicit framework for understanding malaria transmission dynamics in human population for over 100 years…”
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A fuzzy rank-based ensemble of CNN models for classification of cervical cytology by Manna, Ankur, Kundu, Rohit, Kaplun, Dmitrii, Sinitca, Aleksandr, Sarkar, Ram

“…Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million deaths. Detection of cancer in its early stages is of prime…”
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Recursive Memetic Algorithm for gene selection in microarray data by Ghosh, Manosij, Begum, Shemim, Sarkar, Ram, Chakraborty, Debasis, Maulik, Ujjwal

“…•Development of a gene selection algorithm for identification of biomarkers from microarray data.•Application of the method on seven widely used…”
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A wrapper-filter feature selection technique based on ant colony optimization by Ghosh, Manosij, Guha, Ritam, Sarkar, Ram, Abraham, Ajith

“…Ant colony optimization (ACO) is a well-explored meta-heuristic algorithm, among whose many applications feature selection (FS) is an important one. Most…”
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A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification by Mandal, Moumita, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Shafi, Jana, Sarkar, Ram

“…In machine learning and data science, feature selection is considered as a crucial step of data preprocessing. When we directly apply the raw data for…”
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Brain tumor image generation using an aggregation of GAN models with style transfer by Mukherkjee, Debadyuti, Saha, Pritam, Kaplun, Dmitry, Sinitca, Aleksandr, Sarkar, Ram

“…In the recent past, deep learning-based models have achieved tremendous success in computer vision-related tasks with the help of large-scale annotated…”
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Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme by Pramanik, Rishav, Banerjee, Bihan, Efimenko, George, Kaplun, Dmitrii, Sarkar, Ram

“…We have recently been witnessing that our society is starting to heal from the impacts of COVID-19. The economic, social and cultural impacts of a pandemic…”
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DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images by Pramanik, Payel, Pramanik, Rishav, Schwenker, Friedhelm, Sarkar, Ram

“…Breast ultrasound medical images often have low imaging quality along with unclear target boundaries. These issues make it challenging for physicians to…”
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Deep learning approaches to scene text detection: a comprehensive review by Khan, Tauseef, Sarkar, Ram, Mollah, Ayatullah Faruk

“…In recent times, text detection in the wild has significantly raised its ability due to tremendous success of deep learning models. Applications of computer…”
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TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images by Pramanik, Rishav, Dey, Subhrajit, Malakar, Samir, Mirjalili, Seyedali, Sarkar, Ram

“…The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its deadly impact. Early testing with isolation of the individual is the best…”
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A union of deep learning and swarm-based optimization for 3D human action recognition by Basak, Hritam, Kundu, Rohit, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Woźniak, Marcin, Sarkar, Ram

“…Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and…”
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Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans by Kundu, Rohit, Basak, Hritam, Singh, Pawan Kumar, Ahmadian, Ali, Ferrara, Massimiliano, Sarkar, Ram

“…COVID-19 has crippled the world’s healthcare systems, setting back the economy and taking the lives of several people. Although potential vaccines are being…”
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A new wrapper feature selection method for language-invariant offline signature verification by Banerjee, Debanshu, Chatterjee, Bitanu, Bhowal, Pratik, Bhattacharyya, Trinav, Malakar, Samir, Sarkar, Ram

“…Among various biometric systems, an offline signature verification system has been widely used in all fields such as in banks, educational institutes, legal…”
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Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study by Mukherjee, Debadyuti, Dhar, Koustav, Schwenker, Friedhelm, Sarkar, Ram

“…Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from this disease. In-time diagnosis of apnea is needed which can be…”
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Introducing clustering based population in Binary Gravitational Search Algorithm for Feature Selection by Guha, Ritam, Ghosh, Manosij, Chakrabarti, Akash, Sarkar, Ram, Mirjalili, Seyedali

“…Feature Selection (FS) is an important aspect of knowledge extraction as it helps to reduce dimensionality of data. Among the numerous FS algorithms proposed…”
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Document Image Binarization Using Dual Discriminator Generative Adversarial Networks by De, Rajonya, Chakraborty, Anuran, Sarkar, Ram

“…For document image analysis, image binarization is an important preprocessing step. Also, binarization can help in improving the readability of old and…”
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Stock market prediction using Altruistic Dragonfly Algorithm by Chatterjee, Bitanu, Acharya, Sayan, Bhattacharyya, Trinav, Mirjalili, Seyedali, Sarkar, Ram

“…Stock market prediction is the process of determining the value of a company's shares and other financial assets in the future. This paper proposes a new model…”
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EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications by Mukherjee, Debadyuti, Mondal, Riktim, Singh, Pawan Kumar, Sarkar, Ram, Bhattacharjee, Debotosh

“…Human Activity Recognition (HAR) can be defined as the automatic prediction of the regular human activities performed in our day-to-day life, such as walking,…”
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DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images by Pramanik, Payel, Roy, Ayush, Cuevas, Erik, Perez-Cisneros, Marco, Sarkar, Ram

“…Breast cancer remains a critical global concern, underscoring the urgent need for early detection and accurate diagnosis to improve survival rates among women…”
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