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Precision agriculture using IoT data analytics and machine learning

Journal of King Saud University. Computer and information sciences, 2022-09, Vol.34 (8), p.5602-5618

2022

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e‐TOALB: An efficient task offloading in IoT‐fog networks

Concurrency and computation, 2024-03, Vol.36 (6), p.n/a

2024

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A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues

High-Confidence Computing, 2023-06, Vol.3 (2), p.100124, Article 100124

2023

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IoT-Fog architectures in smart city applications: A survey

China communications, 2021-11, Vol.18 (11), p.117-140

2021

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Exploring Personalized Internet of Things (PIoT), social connectivity, and Artificial Social Intelligence (ASI): A survey

High-Confidence Computing, 2024-09, Vol.4 (3), p.100242, Article 100242

2024

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Spider monkey optimization based resource allocation and scheduling in fog computing environment

High-Confidence Computing, 2023-09, Vol.3 (3), p.100149, Article 100149

2023

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Resource management in fog computing using greedy and semi-greedy spider monkey optimization

Soft computing (Berlin, Germany), 2023-12, Vol.27 (24), p.18697-18707

2023

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Deep insight: Convolutional neural network and its applications for COVID-19 prognosis

Biomedical signal processing and control, 2021-08, Vol.69, p.102814-102814, Article 102814

2021

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Covariance-based metric model for cross-domain few-shot classification and learning-to-generalization

Applied intelligence (Dordrecht, Netherlands), 2023-11, Vol.53 (22), p.27374-27391

2023

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Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System

SN computer science, 2023-10, Vol.4 (6), p.817, Article 817

2023

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Taxonomy, state-of-the-art, challenges and applications of visual understanding: A review

Computer science review, 2021-05, Vol.40, p.100374, Article 100374

2021

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Enhancing machine learning efficacy and fairness in automated decision systems: an adversarial deep generative modeling with CoBS-TGAN approach in imbalanced and biased datasets

International journal of system assurance engineering and management, 2024-07

2024

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Learned Gaussian ProtoNet for improved cross-domain few-shot classification and generalization

Neural computing & applications, 2023-02, Vol.35 (4), p.3435-3448

2023

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Class imbalanced problem: Taxonomy, open challenges, applications and state-of-the-art solutions

China communications, 2024, p.1-29

2024

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A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments

International journal of information technology (Singapore. Online), 2024-08

2024

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Cognitive Transformation in Personal IoT: Pioneering Intelligent Automation

Cyber-physical systems, 2024-10, p.1-58

2024

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Fog Task Scheduling using Clustering based Randomized Round Robin

Scalable Computing. Practice and Experience, 2021-11, Vol.22 (3), p.295-302

2021

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Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Scalable Computing. Practice and Experience, 2023-04, Vol.24 (1), p.1-16

2023

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Ensuring Security and Transparency in Distributed Communication in IoT ecosystems using Blockchain Technology: Protocols, Applications and Challenges

International Journal of Computing and Digital System (Jāmiʻat al-Baḥrayn. Markaz al-Nashr al-ʻIlmī), 2022-01, Vol.11 (1), p.1-20

2022

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Securing Ad Hoc Wireless Sensor Networks under Byzantine Attacks by Implementing Non-Cryptographic Methods

Advances in technology innovation, 2017-10, Vol.2 (4), p.113

2017

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STUDY OF PREEMPTIVE ANA L GESIC EFFECTS OF INTRAVENOUS PARACETAMOL IN REDUCING DOSES OF MORPHINE IN PATIENTS UNDERGOING LAPAROSCOPIC CHOLECYSTECTOMY

Journal of evolution of medical and dental sciences, 2015-05, Vol.4 (41), p.7106-7113

2015

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Medical Internet of Things and Data Analytics for Post-COVID Care: An Analysis

Intelligent Data Engineering and Analytics, 2023, Vol.327, p.151-164

2023

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Analysis and Prediction of COVID-19 Using Growth Analysis Models: A Case Study

Cloud Computing and Data Science, 2024-03, p.183-202

2024

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A COMPARATIVE STUDY SHOWING EFFICACY OF PREEMPTIVE INTRAVENOUS PARACETAMOL IN REDUCING POSTOPERATIVE PAIN AND ANALGESIC REQUIREMENT IN LAPAROSCOPIC CHOLECYSTECTOMY

Journal of evolution of medical and dental sciences, 2015-08, Vol.4 (62), p.10771-10777

2015

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Descriptive, Predictive, and Prescriptive Analytics in Healthcare

Data Science for Effective Healthcare Systems, 2023, p.89-103

1, 2023

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Precision agriculture using IoT data analytics and machine learning

e‐TOALB: An efficient task offloading in IoT‐fog networks

A review on offloading in fog-based Internet of Things: Architecture, machine learning approaches, and open issues

IoT-Fog architectures in smart city applications: A survey

Exploring Personalized Internet of Things (PIoT), social connectivity, and Artificial Social Intelligence (ASI): A survey

Spider monkey optimization based resource allocation and scheduling in fog computing environment

Resource management in fog computing using greedy and semi-greedy spider monkey optimization

Deep insight: Convolutional neural network and its applications for COVID-19 prognosis

Covariance-based metric model for cross-domain few-shot classification and learning-to-generalization

Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System

Taxonomy, state-of-the-art, challenges and applications of visual understanding: A review

Enhancing machine learning efficacy and fairness in automated decision systems: an adversarial deep generative modeling with CoBS-TGAN approach in imbalanced and biased datasets

Learned Gaussian ProtoNet for improved cross-domain few-shot classification and generalization

Class imbalanced problem: Taxonomy, open challenges, applications and state-of-the-art solutions

A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments

Cognitive Transformation in Personal IoT: Pioneering Intelligent Automation

Fog Task Scheduling using Clustering based Randomized Round Robin

Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Ensuring Security and Transparency in Distributed Communication in IoT ecosystems using Blockchain Technology: Protocols, Applications and Challenges

Securing Ad Hoc Wireless Sensor Networks under Byzantine Attacks by Implementing Non-Cryptographic Methods

STUDY OF PREEMPTIVE ANA L GESIC EFFECTS OF INTRAVENOUS PARACETAMOL IN REDUCING DOSES OF MORPHINE IN PATIENTS UNDERGOING LAPAROSCOPIC CHOLECYSTECTOMY

Medical Internet of Things and Data Analytics for Post-COVID Care: An Analysis

Analysis and Prediction of COVID-19 Using Growth Analysis Models: A Case Study

A COMPARATIVE STUDY SHOWING EFFICACY OF PREEMPTIVE INTRAVENOUS PARACETAMOL IN REDUCING POSTOPERATIVE PAIN AND ANALGESIC REQUIREMENT IN LAPAROSCOPIC CHOLECYSTECTOMY

Descriptive, Predictive, and Prescriptive Analytics in Healthcare

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