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Enhancing vulnerability assessment through spatially explicit modeling of mountain social-ecological systems exposed to multiple environmental hazards
(
Elsevier
, 2024 , Article)
The evaluation of the vulnerability of coupled socio-ecological systems is critical for addressing and preventing the adverse impacts of various environmental hazards and devising strategies for climate change adaptation. ...
Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells
(
Elsevier
, 2024 , Article)
The effective detection and prevention of CO2 leakage in active injection wells are paramount for safe carbon capture and storage (CCS) initiatives. This study assesses five fundamental machine learning algorithms, namely, ...
Forecasting the impact of environmental stresses on the frequent waves of COVID19
(
Springer
, 2021 , Article)
A novel approach to link the environmental stresses with the COVID-19 cases is adopted during this research. The time-dependent data are extracted from the online repositories that are freely available for knowledge and ...
Smart neuropathy detection using machine intelligence: Filling the void between clinical practice and early diagnosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
An important aspect of Smart healthcare involves the development of innovative non-intrusive procedures for early detection and diagnosis of specific illnesses. Essentially, diseases for which very complicated and invasive ...
Classification ensemble to improve medical named entity recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ...
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
(
Springer
, 2020 , Book chapter)
The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ...
SCADA system testbed for cybersecurity research using machine learning approach
(
MDPI AG
, 2018 , Article)
This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage tank's control system, which is a stage in ...
Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models
(
Elsevier
, 2022 , Article)
Corrosion in steel reinforcement is a central issue behind the severe deterioration of existing reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is increasingly being used as a viable alternative ...
Analysis of customers' satisfaction with baby products: The moderating role of brand image
(
Elsevier
, 2023 , Article)
The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance ...