Bharathan Balaji
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View article: Tracking instances of task evoked oxygen influxes using a novel sensitive BLE enabled wearable fNIRS device identifies mPFC role in spatial memory.
Tracking instances of task evoked oxygen influxes using a novel sensitive BLE enabled wearable fNIRS device identifies mPFC role in spatial memory. Open
Real-world neuroimaging requires true portability and sensitivity to detect signals from neuronal activity. Conventional methods such as MRI, EEG, or PET are constrained by their size and instrumentation complexity. Near Infra-Red (NIR) ba…
View article: SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI
SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI Open
Investigating the effects of climate change and global warming caused by GHG emissions have been a key concern worldwide. These emissions are largely contributed to by the production, use and disposal of consumer products. Thus, it is impo…
View article: An Expert-grounded benchmark of General Purpose LLMs in LCA
An Expert-grounded benchmark of General Purpose LLMs in LCA Open
Purpose: Artificial intelligence (AI), and in particular large language models (LLMs), are increasingly being explored as tools to support life cycle assessment (LCA). While demonstrations exist across environmental and social domains, sys…
View article: SUSTAINABLE BIOFUEL PRODUCTION FROM FRUIT WASTE: A WASTE-TO-ENERGY APPROACH
SUSTAINABLE BIOFUEL PRODUCTION FROM FRUIT WASTE: A WASTE-TO-ENERGY APPROACH Open
The prevention of food spoilage and foodborne illnesses is commonly achieved through chemical preservatives, which pose significant concerns, including potential human health hazards, chemical residues in food and feed chains, and the deve…
View article: Security Enhancement of Wireless Sensor Networks to Improve Network Lifetime Using Routing Algorithms
Security Enhancement of Wireless Sensor Networks to Improve Network Lifetime Using Routing Algorithms Open
View article: Concurrency-Informed Orchestration for Serverless Functions
Concurrency-Informed Orchestration for Serverless Functions Open
View article: FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping
FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping Open
View article: Evaluating the Effectiveness of Leading Job Portals: A Cross-Platform Analysis
Evaluating the Effectiveness of Leading Job Portals: A Cross-Platform Analysis Open
View article: FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping
FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping Open
Accurate assessment of fuel conditions is a prerequisite for fire ignition and behavior prediction, and risk management. The method proposed herein leverages diverse data sources including Landsat-8 optical imagery, Sentinel-1 (C-band) Syn…
View article: Climate Risk Assessment Framework for Tornadoes
Climate Risk Assessment Framework for Tornadoes Open
Tornadoes are low-probability high-consequence hazards that are capable of causing significant damages to communities. Future projections of tornadic events are challenging to estimate since tornadoes usually form at scales far less than t…
View article: OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering Open
State estimation for legged robots is challenging due to their highly dynamic motion and limitations imposed by sensor accuracy. By integrating Kalman filtering, optimization, and learning-based modalities, we propose a hybrid solution tha…
View article: Scaling Carbon Footprinting: Challenges and Opportunities
Scaling Carbon Footprinting: Challenges and Opportunities Open
Rapid and continuous increase in greenhouse gas (GHG) emissions is warming our planet at unprecedented rates. Consumer products and services, including all aspects of the corresponding supply chain, contribute to more than 75% of these emi…
View article: An IIOT Approach for Prediction of Machine Failure in Industries Using Edge Software via K Means Clustering
An IIOT Approach for Prediction of Machine Failure in Industries Using Edge Software via K Means Clustering Open
Internet of Things, in this technological era contributes for many applications particularly when we deal this technology in industry, we name it as Industrial Internet of Things (IIOT). In this paper one such application of Industrial Int…
View article: Economizer Optimization with Reinforcement Learning: An Industry Perspective
Economizer Optimization with Reinforcement Learning: An Industry Perspective Open
Building operations contribute approximately 28% of global greenhouse gas emissions according to the International Energy Agency. With the increase in cooling demand due to rising global temperatures, the optimization of rooftop units (RTU…
View article: Flamingo: Environmental Impact Factor Matching for Life Cycle Assessment with Zero-shot Machine Learning
Flamingo: Environmental Impact Factor Matching for Life Cycle Assessment with Zero-shot Machine Learning Open
Consumer products contribute to more than 75% of global greenhouse gas (GHG) emissions, primarily through indirect contributions from the supply chain. Measurement of GHG emissions associated with products is a crucial step toward quantify…
View article: Rule-based Policy Regularization for Reinforcement Learning-based Building Control
Rule-based Policy Regularization for Reinforcement Learning-based Building Control Open
Rule-based control (RBC) is widely adopted in buildings due to its stability and robustness. It resembles a behavior cloning methodology refined by human experts; however, it is incapable of adapting to distribution drifts. Reinforcement l…
View article: Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras Open
Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of the PTZ mechanisms. These approaches require manual labels a…
View article: CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity
CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity Open
Products contribute to carbon emissions in each phase of their life cycle, from manufacturing to disposal. Estimating the embodied carbon in products is a key step towards understanding their impact, and undertaking mitigation actions. Pre…
View article: Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras Open
Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of the PTZ mechanisms. These approaches require manual labels a…
View article: B2RL
B2RL Open
Batch reinforcement learning (BRL) is an emerging research area in the RL community. It learns exclusively from static datasets (i.e. replay buffers) without interaction with the environment. In the offline settings, existing replay experi…
View article: B2RL: An open-source Dataset for Building Batch Reinforcement Learning
B2RL: An open-source Dataset for Building Batch Reinforcement Learning Open
Batch reinforcement learning (BRL) is an emerging research area in the RL community. It learns exclusively from static datasets (i.e. replay buffers) without interaction with the environment. In the offline settings, existing replay experi…
View article: Context-Aware Streaming Perception in Dynamic Environments
Context-Aware Streaming Perception in Dynamic Environments Open
Efficient vision works maximize accuracy under a latency budget. These works evaluate accuracy offline, one image at a time. However, real-time vision applications like autonomous driving operate in streaming settings, where ground truth c…
View article: Implementation of Legendre Neural Network to Solve Time-Varying Singular Bilinear Systems
Implementation of Legendre Neural Network to Solve Time-Varying Singular Bilinear Systems Open
Bilinear singular systems can be used in the investigation of different types of engineering systems. In the past decade, considerable attention has been paid to analyzing and synthesizing singular bilinear systems. Their importance lies i…
View article: ACES
ACES Open
Many modern smart building applications are supported by wireless sensors to sense physical parameters, given the flexibility they offer and the reduced cost of deployment. However, most wireless sensors are powered by batteries today, and…
View article: Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning Open
Human attention is a scarce resource in modern computing. A multitude of microtasks vie for user attention to crowdsource information, perform momentary assessments, personalize services, and execute actions with a single touch. A lot gets…
View article: Credit Card Fraud Detection Using Fuzzy Rule Based Classifier
Credit Card Fraud Detection Using Fuzzy Rule Based Classifier Open
Fraud detection is an emerging topic of notable importance. Data mining strategies have been applied most considerably to the detection of insurance fraud, monetary fraud and financial fraud. This project will mainly focus on detecting fra…
View article: DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning Open
DeepRacer is a platform for end-to-end experimentation with RL and can be used to systematically investigate the key challenges in developing intelligent control systems. Using the platform, we demonstrate how a 1/18th scale car can learn …
View article: Smart Bicycle based on IoT using Raspberry PI
Smart Bicycle based on IoT using Raspberry PI Open
Design of Bicycle monitoring and tracking system using RASPBERRY PI is proposed. The smart module is used to track, monitor, and surveillance and finds the accident spot and intimate to the monitoring station. The proposed design provides …
View article: Pible: Battery-Free Mote for Perpetual Indoor BLE Applications
Pible: Battery-Free Mote for Perpetual Indoor BLE Applications Open
Smart building applications require a large-scale deployment of sensors distributed across the environment. Recent innovations in smart environments are driven by wireless networked sensors as they are easy to deploy. However, replacing th…
View article: Pible: battery-free mote for perpetual indoor BLE applications
Pible: battery-free mote for perpetual indoor BLE applications Open
As of today, large-scale wireless sensor networks are adopted for smart building applications as they are easy and flexible to deploy. Low-power wireless nodes can achieve multi-year lifetimes with an AA battery using Bluetooth Low Energy …