These Dissertations were submitted in partial fulfilment of the requirements for the award of M TECH (Computer Science) Degree of Indian Statistical Institute
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 ...
Kayal, Partha(Indian Statistical Institute, Kolkata, 2022-07)
Remote sensing data is a rich resource of information, as it provides a time-wise sequence
of data, and therefore can be used for prediction purposes. In this paper, we addressed the challenge of using
time series on ...
Kumar, Niraj(Indian Statistical Institute, Kolkata, 2022-07)
Anomaly detection in videos deals with pointing out the events that are out of normal.
Current methods deals with identification of anomalous frames in a video sequence
based on certain objects, and behaviours present ...
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 ...
Kayal, Partha(Indian Statistical Institute, Kolkata, 2022-07)
Remote sensing data is a rich resource of information, as it provides a time-wise sequence
of data, and therefore can be used for prediction purposes. In this paper, we addressed the challenge of using
time series on ...
Kumar, Niraj(Indian Statistical Institute, Kolkata, 2022-07)
Anomaly detection in videos deals with pointing out the events that are out of normal.
Current methods deals with identification of anomalous frames in a video sequence
based on certain objects, and behaviours present ...