• Immuno-Inspired Embodied Lifelong Learning in Robots 

  Kulkarni, Divya D (2023)

  The work describes the formulation of immuno-inspired mechanisms to continuously evolve, cache, manage and evict several Artificial Neural Network (ANN) based robot controllers, within disparate Halls-of-Fame, thereby ...
• Formal Modeling of Network-on-Chip and its Applications in Starvation and Deadlock Detection and in Developing Deadlock Free Routing Algorithms 

  Das, Surajit (2022)

  Due to the uncontrolable heat genearated by a single high speed processor the transition takes place from a single high frequencey processor to Chip Multi Processor (CMP) consists of many processors with moderate clock ...
• Sentiment analysis of tweets on societal topics 

  Singh, Loitongbam Gyanendro (2021)

  With the increasing popularity of Twitter, a surge in understanding public opinions on various social issues has been evident. One of the parameters often considered in such studies is understanding public sentiment toward ...
• Manipuri-English Machine Translation using Comparable Corpus (An Unsupervised Statistical Machine Translation Approach) 

  Laitonjam, Lenin (2022)

  Machine Translation (MT) is an essential tool for communicating with foreign-language speakers. The current mainstream MT frameworks, namely, Statistical MT (SMT) and Neural MT (NMT), are characterized by learning to ...
• Performance Enhancement of Tiled Multicore Processors using Prefetching and NoC Packet Compression 

  Deb, Dipika (2022)

  The well-known memory wall problem is created because of the disparity between the processor speed and main memory speed, restricting a system from achieving the maximum performance benefit. In a multicore system, the ...
• Adaptive Resource Allocation for Faster Formation of 6TiSCH IoT Network 

  Kalita, Alakesh (2022)

  The IPv6 over the TSCH mode of IEEE 802.15.4e (6TiSCH) network is standardized to meet high reliability, end-to-end latency, and network lifetime requirements of various IoT applications. The formation of 6TiSCH network ...
• Algorithms for Facility Location Problems in Geometric Settings 

  Mishra, Pawan Kumar (2023)

  Facility Location Problems (FLPs) have been the subject of extensive research because of its diverse range of applications in VLSI, networks, clustering, and other areas. The covering problem and the dispersion problem are ...
• Brownout-based Power Allocation Strategies in Microgrids 

  Raj, Basina Deepak (2023)

  "Future Smart Grids are expected to transform into hierarchically connected networks of miniaturized power systems called Microgrids, which are usually aimed to cater to a small geographical region. Microgrids have been ...
• Learning Player-specific Strategies Using Cricket Text Commentary 

  Behera, Swarup Ranjan (2021)

  In recent times, as sports get more competitive than ever, players and teams are looking for ways to get an edge over their rivals. The progressive trend of analyzing vast amounts of data has also emerged in cricket, as ...
• Towards Cost-aware Resource Management in Federated Cloud Data Centers 

  Najm, Moustafa (2022)

  The work in this thesis addresses the problems of cost-aware resource management in federated data centers. We design a resource management framework for federated cloud data centers along with some efficient techniques ...
• Near-Memory acceleration of Convolutional Neural Networks by exploiting Parallelism, Sparsity, and Redundancy 

  Das, Palash (2022)

  The gap between the processing speed of the CPU and the access speed of the memory is becoming a bottleneck for many emerging applications. This gap can be reduced if the computation can be taken closer to the memory through ...
• Understanding and Mitigation of Noise in Crowd-Sourced Relation Classification Dataset 

  Parekh, Akshay (2023)

  Relation classification (RC), a task of classifying the relation between a given pair of entities in a sentence to a relation label is fundamental to IE systems. The identified structured triple (subject_entity, relation, ...
• LongLiveNoC: Wear Levelling, Write Reduction and Selective VC allocation for Long lasting Dark Silicon aware NoC Interconnects 

  Rani, Khushboo (2021)

  Increasing processing demand has led to the development of chip multiprocessors which can have multiple to many cores connected with each other and with the on-chip caches. These connections are established by an on-chip ...
• Significance of Hashtags for Improved Topic Modeling on Tweets 

  Kumar, Durgesh (2022)

  With the increase in Twitter's popularity, topic modeling on Twitter has become an important problem with applications in diverse fields such as text summarization, document clustering, information retrieval, and sentiment ...
• Deep Learning Models for Cardiac Abnormality Detection from ECG Signals: An Interpretability Perspective 

  Nankani, Deepankar (2022)

  Cardiovascular diseases (CVD) accounted for 54 million deaths in India in 2016, and the number of patients has been rapidly rising, particularly within urban communities. Deep learning models (DLM) have been widely used ...
• Reverse Engineering of High-Level Synthesis and its Applications 

  Adem, Mohammed Abderehman (2022)

  High-level synthesis (HLS) is the process of translating an abstract behavioral specification (usually written in C, C++) into a register transfer level (RTL) that realizes the given behaviour. The HLS is widely used in ...
• Structure-Aware Network Representation Learning on Graphs 

  Mitra, Anusua (2022)

  Graphs provide a powerful way to model real-world scenarios. Entities in real-world data can be modeled as nodes in a graph. And, various kinds of interactions among the entities are modeled as edges in such a graph. It ...
• Spatial-Domain Image Steganalysis using Deep Learning Techniques 

  Singh, Brijesh (2021)

  Steganography is an art of covert communication where a message is hidden in some natural-looking objects such that no one can even suspect the ongoing communication. On the other hand, steganalysis is science for detecting ...
• Task and Message Co-scheduling Strategies in Real-time Cyber-Physical Systems 

  Roy, Sanjit Kumar (2022)

  Cyber-Physical Systems (CPSs), like those in the automotive and avionic domains, smart grids, nuclear plants, etc., often consist of multiple control subsystems running on distributed processing platforms. Most of these ...
• Incremental-Decremental Methods for Multi-view Discriminant Analysis 

  Shivagunde, Saroj Snehal (2022)

  In recent years, the use of multi-view data has attracted much attention from the machine learning community. Multiple views of an object are obtained using different sensors and contain different features that describe ...

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