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View article: Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT
Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT Open
Integrating Artificial Intelligence (AI) with the Industrial Internet of Things (IIoT) has transformed industrial processes, enhancing productivity, quality control, and operational efficiency. However, ensuring the precision and reliabili…
View article: Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency Open
Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a key technique to enab…
View article: A Study on \(W_6\) and \(W_8\)-Curvature Tensors on \((LPK)_n\)-Manifold with a Quarter-Symmetric Metric Connection
A Study on \(W_6\) and \(W_8\)-Curvature Tensors on \((LPK)_n\)-Manifold with a Quarter-Symmetric Metric Connection Open
The present paper deals with the study of W6 and W8-curvature tensors in an n-dimensional Lorentzian para-Kenmotsu manifold (briefly, (LPK)n-manifold) with a quarter-symmetric metric connection.
View article: Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency Open
Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a key technique to enab…
View article: ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback
ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback Open
Workers, especially those involved in jobs requiring extended standing or repetitive movements, often face significant health challenges due to Musculoskeletal Disorders (MSDs). To mitigate MSD risks, enhancing workplace ergonomics is vita…
View article: Engineering Carbon Emission-aware Machine Learning Pipelines
Engineering Carbon Emission-aware Machine Learning Pipelines Open
The proliferation of machine learning (ML) has brought unprecedented advancements in technology, but it has also raised concerns about its environmental impact, particularly concerning carbon emissions. To address the imperative of environ…
View article: Edge-based Data Profiling and Repair as a Service for IoT
Edge-based Data Profiling and Repair as a Service for IoT Open
With the proliferation of IoT devices and the consequent exponential growth in data generation, ensuring data quality has become a critical challenge in IoT applications. Erroneous data can significantly impact the reliability and effectiv…
View article: Towards Community-Driven Generative AI
Towards Community-Driven Generative AI Open
While the emerging market of Generative Artificial Intelligence (AI) is increasingly dominated and controlled by the Tech Giants, there is also a growing interest in open-source AI code and models from smaller companies, research organisat…
View article: AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization
AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization Open
—Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their effectiveness highly de…
View article: Replay-Driven Continual Learning for the Industrial Internet of Things
Replay-Driven Continual Learning for the Industrial Internet of Things Open
—The Industrial Internet of Things (IIoT) leverages thousands of interconnected sensors and computing devices to monitor and control large and complex industrial processes. Machine learning (ML) applications in IIoT use data acquired from …
View article: Uncertainty-aware Virtual Sensors for Cyber-Physical Systems
Uncertainty-aware Virtual Sensors for Cyber-Physical Systems Open
—Virtual sensors in Cyber-Physical Systems (CPS) are AI replicas of physical sensors that can mimic their behavior by processing input data from other sensors monitoring the same system. However, we cannot always trust these replicas due t…
View article: A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing Open
There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily depend on quality-rel…
View article: A Systematic Review of Data uality in CPS and IoT for Industry 4.0
A Systematic Review of Data uality in CPS and IoT for Industry 4.0 Open
The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the backbones of Industry 4.0, where data quality is crucial for decision support. Data quality in these systems can deteriorate due to sensor failures or uncertain operatin…
View article: Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline Open
Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure quantities, su…
View article: Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline Open
Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure quantities, su…
View article: A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing Open
There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily depend on quality-rel…
View article: Impact of the Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study
Impact of the Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study Open
Background The wide availability of mobile phones has made it easy to disseminate health-related information and make it accessible. With gamification, mobile apps can nudge people to make informed health choices, including attending cervi…
View article: Taming Data Quality in AI-Enabled Industrial Internet of Things
Taming Data Quality in AI-Enabled Industrial Internet of Things Open
We address the problem of taming data quality in artificial intelligence (AI)-enabled Industrial Internet of Things systems by devising machine learning pipelines as part of a decentralized edge-to-cloud architecture. We present the design…
View article: When time is short, and we are late!: A story of chronic meningitis
When time is short, and we are late!: A story of chronic meningitis Open
We often face situations when the exact etiological diagnosis of meningitis is difficult. The reason behind this is that many pathogens have similar clinical, radiological, and laboratory pictures. The low yield of the pathogen in cerebros…
View article: UDAVA
UDAVA Open
Manufacturing has enabled the mechanized mass production of the same (or similar) products by replacing craftsmen with assembly lines of machines. The quality of each product in an assembly line greatly hinges on continual observation and …
View article: When Doom is Invincible and Not Easily Perceptible
When Doom is Invincible and Not Easily Perceptible Open
A 47-year-old -lady without known co-morbidity had presented with a one-month history of respiratory distress and headache. Someone incidentally started her with antitubercular drugs and steroids outside our hospital. Her routine CT scan o…
View article: Deep learning to predict power output from respiratory inductive plethysmography data
Deep learning to predict power output from respiratory inductive plethysmography data Open
Power output is one of the most accurate methods for measuring exercise intensity during outdoor endurance sports, since it records the actual effect of the work performed by the muscles over time. However, power meters are expensive and a…
View article: Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns Open
Increasing the impact of software engineering research in the software industry and the society at large has long been a concern of high priority for the software engineering community. The problem of two cultures, research conducted in a …
View article: Impact of Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study (Preprint)
Impact of Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study (Preprint) Open
BACKGROUND The availability of mobile phones has made the dissemination of health-related information easy and accessible. With gamification, mobile apps can nudge people to make informed health choices, including attending cervical cance…
View article: Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review
Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review Open
Recent advances in the manufacturing industry have enabled the deployment of Cyber-Physical Systems (CPS) at scale. By utilizing advanced analytics, data from production can be analyzed and used to monitor and improve the process and produ…
View article: On The Reliability Of Machine Learning Applications In Manufacturing Environments
On The Reliability Of Machine Learning Applications In Manufacturing Environments Open
The increasing deployment of advanced digital technologies such as Internet of Things (IoT) devices and Cyber-Physical Systems (CPS) in industrial environments is enabling the productive use of machine learning (ML) algorithms in the manuf…
View article: Matlab Programming For Visualizing Numerical Iterative Dynamics
Matlab Programming For Visualizing Numerical Iterative Dynamics Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract MATLAB PROGRAMMING FOR VISUALIZING NUMERICAL ITERATIVE DYNAMICS Abstract Presented here are the fundamental principles of discrete dyna…