These Dissertations were submitted in partial fulfilment of the requirements for the award of M TECH (Computer Science) Degree of Indian Statistical Institute
Nag, Chandradipa(Indian Statistical Institute, Kolkata, 2024-06)
Liver tumor segmentation from CT images is of paramount importance in medical image analysis.
Accurate segmentation of liver tumor is crucial for effective diagnosis and treatment planning in
hepatocellular carcinoma and ...
Mondal, Avir(Indian Statistical Institute, Kolkata, 2024-06)
Many countries around the world depends on agriculture, as it helps reduce poverty,
increase national income, and improve food security. However, plant diseases often
impact food crops, leading to significant annual ...
Mondal, Anupam(Indian Statistical Institute, Kolkata, 2024-06)
In recent decades, global temperature rises have significantly influenced glacier dynamics
[1][2], underscoring the vital need for accurately delineating glacier boundaries
to comprehend these shifts and document regional ...
Mandal, Anup(Indian Statistical Institute, Kolkata, 2024-06)
DeepSmote uses the SMOTE technique in the latent space of an Autoencoder-
Decoder model to produce high fidelity images for imbalanced data. But it is be
limited by 2 essential artillery: over-fitting the data and a lack ...
Lakkoju, V S Siva Kumar(Indian Statistical Institute, Kolkata, 2023-06)
Time Series Classification (TSC) involves assigning a target label based on features
involving time series data. TSC arises in a variety of domains, like healthcare, finance, process control, weather pattern prediction, ...
Chatterjee, Soham(Indian Statistical Institute, Kolkata, 2022-07)
The last 2 years have been adversely affected by the COVID-19 pandemic. Doctors
usually detect Covid from CT slices from features such as ground glass, consolidation
and pleural effusion. These features usually have ...
Sindhiya, Ravindra(Indian Statistical Institute, Kolkata, 2022-07)
Block ciphers are the most popular for protecting messages in the field of information
security, and their power naturally draws attention. Identifying block
ciphers in ECB and CBC mode has been difficult work over the ...
Bhalerao, Omkar(Indian Statistical Institute, Kolkata, 2022-07)
The problem of counting the number of subgraphs of a specific kind within an input graph G = (V,E)
has been extensively studied in literature. However, when it comes to designing good algorithms for
such problems, even ...
Nag, Chandradipa(Indian Statistical Institute, Kolkata, 2024-06)
Liver tumor segmentation from CT images is of paramount importance in medical image analysis.
Accurate segmentation of liver tumor is crucial for effective diagnosis and treatment planning in
hepatocellular carcinoma and ...
Mondal, Avir(Indian Statistical Institute, Kolkata, 2024-06)
Many countries around the world depends on agriculture, as it helps reduce poverty,
increase national income, and improve food security. However, plant diseases often
impact food crops, leading to significant annual ...
Mondal, Anupam(Indian Statistical Institute, Kolkata, 2024-06)
In recent decades, global temperature rises have significantly influenced glacier dynamics
[1][2], underscoring the vital need for accurately delineating glacier boundaries
to comprehend these shifts and document regional ...
Mandal, Anup(Indian Statistical Institute, Kolkata, 2024-06)
DeepSmote uses the SMOTE technique in the latent space of an Autoencoder-
Decoder model to produce high fidelity images for imbalanced data. But it is be
limited by 2 essential artillery: over-fitting the data and a lack ...
Lakkoju, V S Siva Kumar(Indian Statistical Institute, Kolkata, 2023-06)
Time Series Classification (TSC) involves assigning a target label based on features
involving time series data. TSC arises in a variety of domains, like healthcare, finance, process control, weather pattern prediction, ...
Chatterjee, Soham(Indian Statistical Institute, Kolkata, 2022-07)
The last 2 years have been adversely affected by the COVID-19 pandemic. Doctors
usually detect Covid from CT slices from features such as ground glass, consolidation
and pleural effusion. These features usually have ...
Sindhiya, Ravindra(Indian Statistical Institute, Kolkata, 2022-07)
Block ciphers are the most popular for protecting messages in the field of information
security, and their power naturally draws attention. Identifying block
ciphers in ECB and CBC mode has been difficult work over the ...
Bhalerao, Omkar(Indian Statistical Institute, Kolkata, 2022-07)
The problem of counting the number of subgraphs of a specific kind within an input graph G = (V,E)
has been extensively studied in literature. However, when it comes to designing good algorithms for
such problems, even ...