Divya Saxena
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View article: Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network Open
Inductive spatial temporal prediction can generalize historical data to predict unseen data, crucial for highly dynamic scenarios (e.g., traffic systems, stock markets). However, external events (e.g., urban structural growth, market crash…
View article: Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning Open
In continual learning (CL), model growth enhances adaptability to new data. However, when model growth is applied improperly, especially in task-agnostic CL, where the entire grown model is used for inference, it can lead to severe degrada…
View article: NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining
NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining Open
Accurate surface roughness prediction is critical for ensuring high product quality, especially in areas like manufacturing and aerospace, where the smallest imperfections can compromise performance or safety. However, this is challenging …
View article: RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks Open
Training Generative Adversarial Networks (GAN) to generate high-quality images typically requires large datasets. Network pruning during training has recently emerged as a significant advancement for data-efficient GAN. However, simple and…
View article: Channel Estimation in IRS-Assisted OTFS Communication via Residual Attention Network
Channel Estimation in IRS-Assisted OTFS Communication via Residual Attention Network Open
For intelligent reflecting surface (IRS) based communication, channel estimation methods have predominantly focused on low-mobility and static scenarios. However, in dynamic scenarios where mobility and channel variations take place, accur…
View article: Channel Estimation for Intelligent Reflecting Surface Aided Communication via Graph Transformer
Channel Estimation for Intelligent Reflecting Surface Aided Communication via Graph Transformer Open
Intelligent reflecting surface (IRS) is a potential technology for enhancing communication systems' performance. Accurate cascaded channel estimation between the base station (BS), IRS, and the user is vital for optimal system performance.…
View article: MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency
MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency Open
Neural architecture search (NAS) has gained significant traction in automating the design of neural networks. To reduce search time, differentiable architecture search (DAS) reframes the traditional paradigm of discrete candidate sampling …
View article: Lived Experiences of HIV Positive Mothers
Lived Experiences of HIV Positive Mothers Open
HIV is linked to social isolation, disrupted family roles and includes various psychological and psychosocial issues.The consequences of being HIV positive results in rejection on the part of family and friends.The present study was conduc…
View article: Memory-Efficient Domain Incremental Learning for Internet of Things
Memory-Efficient Domain Incremental Learning for Internet of Things Open
In Internet of Things (IoT) scenarios such as smart homes, autonomous vehicles, and wearable devices, data pattern changes over time due to changing environments and user requirements, known as domain shifts. When encountering domain shift…
View article: SCALING UP A FALL PREVENTION PROGRAM IN RURAL COMMUNITIES: FEASIBILITY AND LESSONS LEARNED
SCALING UP A FALL PREVENTION PROGRAM IN RURAL COMMUNITIES: FEASIBILITY AND LESSONS LEARNED Open
In North Dakota, 28% of adults over age 65 report falling each year, resulting in substantial morbidity and mortality. Evidence-based fall prevention programs can benefit quality of life and maintenance of daily living activities, particul…
View article: Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions
Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions Open
Big Data Sharing (BDS) refers to the act of the data owners to share data so that users can find, access and use data according to the agreement. In recent years, BDS has been an emerging topic due to its wide applications, such as big dat…
View article: AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets Open
Managing heterogeneous datasets that vary in complexity, size, and similarity in continual learning presents a significant challenge. Task-agnostic continual learning is necessary to address this challenge, as datasets with varying similar…
View article: Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation Open
42nd IEEE International Conference on Distributed Computing Systems, July 10 - July 13, 2022, Bologna, Italy
View article: Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation Open
Many real-world applications can be formulated as multi-agent cooperation problems, such as network packet routing and coordination of autonomous vehicles. The emergence of deep reinforcement learning (DRL) provides a promising approach fo…
View article: From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning Open
Multi-agent reinforcement learning (MARL) has been gaining extensive attention from academia and industries in the past few decades. One of the fundamental problems in MARL is how to evaluate different approaches comprehensively. Most exis…
View article: Optimization and Storage Study of Rabri Enriched with Date Syrup and Makhana
Optimization and Storage Study of Rabri Enriched with Date Syrup and Makhana Open
Rabri is a dairy-based sweet dessert that is very popular in Indian subcontinent. Its high sugar content limits some health conscious people from consuming it. In this study, rabri was prepared with date syrup replacing sugar completely. T…
View article: Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks Open
Spatio-temporal (ST) data is a collection of multiple time series data with different spatial locations and is inherently stochastic and unpredictable. An accurate prediction over such data is an important building block for several urban …
View article: Downfall Of Investigative Journalism: Need for Implementation Of New Protective Legislation or Neutralising The Misuse Of The Present Ones
Downfall Of Investigative Journalism: Need for Implementation Of New Protective Legislation or Neutralising The Misuse Of The Present Ones Open
Investigative Journalism which can be understood as gathering evidence, constructing narratives and then making sense of the things in order to make news judgements have the ability to unveil some really uncomfortable facts which might cre…
View article: Time Series Clustering for Human Behavior Pattern Mining
Time Series Clustering for Human Behavior Pattern Mining Open
Human behavior modeling deals with learning and understanding behavior patterns inherent in humans' daily routines. Existing pattern mining techniques either assume human dynamics is strictly periodic, or require the number of modes as inp…
View article: A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks
A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks Open
Shared Sensor Network (SSN) refers to a scenario where the same sensing and communication resources are shared and queried by multiple Internet applications. Due to the burgeoning growth in Internet applications, multiple application queri…
View article: Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions Open
Generative Adversarial Networks (GANs) is a novel class of deep generative models which has recently gained significant attention. GANs learns complex and high-dimensional distributions implicitly over images, audio, and data. However, the…
View article: Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Open
Generative Adversarial Networks (GANs) is a novel class of deep generative models which has recently gained significant attention. GANs learns complex and high-dimensional distributions implicitly over images, audio, and data. However, the…
View article: A Learning Based Human Interaction Modeling Using Mobile Sensing
A Learning Based Human Interaction Modeling Using Mobile Sensing Open
Online social networks are emerging as a convenient platform where users build social relations with other individuals having similar interests, family/work background, etc. However, existing human interaction modeling is based on social g…
View article: MICROBIOLOGICAL INVESTIGATION OF WATER QUALITY OF TWO CENTURY OLD LAKES, FROM JHANSI, BUNDELKHAND REGION.
MICROBIOLOGICAL INVESTIGATION OF WATER QUALITY OF TWO CENTURY OLD LAKES, FROM JHANSI, BUNDELKHAND REGION. Open
07Jul 2019 MICROBIOLOGICAL INVESTIGATION OF WATER QUALITY OF TWO CENTURY OLD LAKES, FROM JHANSI, BUNDELKHAND REGION. Divya Saxena , Deepak sahay Saxena and Amit Pal. Research Scholar,(Dept.of Environmental Sciences),Bundelkhand University,…
View article: D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction Open
Spatio-temporal (ST) data for urban applications, such as taxi demand, traffic flow, regional rainfall is inherently stochastic and unpredictable. Recently, deep learning based ST prediction models are proposed to learn the ST characterist…
View article: MICROBIOLOGICAL INVESTIGATION OF WATER QUALITY OF TWO CENTURY OLD LAKES, FROM JHANSI, BUNDELKHAND REGION.
MICROBIOLOGICAL INVESTIGATION OF WATER QUALITY OF TWO CENTURY OLD LAKES, FROM JHANSI, BUNDELKHAND REGION. Open
The microorganisms present in water cause harmful effects in human body. Supply of drinking water contaminated with sewage or other excreted matter from men and animals may cause intestinal infections, dysentery, hepatitis, typhoid fever, …
View article: Assessment of Knowledge of Professional Ethics among Medical and Dental Postgraduate Students In Central India - A Cross-Sectional, Questionnaire-based Epidemiological Study
Assessment of Knowledge of Professional Ethics among Medical and Dental Postgraduate Students In Central India - A Cross-Sectional, Questionnaire-based Epidemiological Study Open
Introduction: Vitamin D is increasingly being recognized as important for brain health, apart from its importance in endocrine and bone health.There is evidence that vitamin D deficiency is also related to medical problems such as obesity,…