[HTML][HTML] Application of Nanobiosensor Engineering in the Diagnosis of Neurodegenerative Disorders

TS Dhahi, AKY Dafhalla, AW Al-Mufti, ME Elobaid… - Results in …, 2024 - Elsevier
Neurodegenerative diseases like Alzheimer's disease and Parkinson's disease are hard to
diagnose and treat early. They are characterised by progressive loss of neuronal function …

[HTML][HTML] Exploring the potential of ionic liquid-based electrochemical biosensors for real-time biomolecule monitoring in pharmaceutical applications: from lab to life

A Thakur, A Kumar - Results in Engineering, 2023 - Elsevier
Ionic liquid-based electrochemical biosensors have recently surged to prominence as an
intriguing technology with transformative potential for real-time biomolecule monitoring …

[HTML][HTML] Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study

AA Murtaza, A Saher, MH Zafar, SKR Moosavi… - Results in …, 2024 - Elsevier
This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

[HTML][HTML] Early detection of monkeypox: Analysis and optimization of pretrained deep learning models using the Sparrow Search Algorithm

A Bamaqa, WM Bahgat, Y AbdulAzeem, HM Balaha… - Results in …, 2024 - Elsevier
The global spread of monkeypox across over 40 countries is a major health challenge. Its
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …

Multi-Scale Object Detection and Classification using Machine Learning and Image Processing

N Yuvaraj, K Rajput, K Suganyadevi… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Multi-scale object detection and category has grown to be important duties in numerous
domain names, including laptop imaginative and prescient, autonomous driving, and …

[HTML][HTML] Efficiency-aware machine-learning driven design of solar harvester for renewable energy application

A Baz, SK Patel - Results in Engineering, 2024 - Elsevier
Although MIM structures have been studied for solar thermal applications for decades, the
multilayer MI-MIM structure is the subject of this study's investigation for batter absorption. In …

[HTML][HTML] Arsenic and type 2 diabetes: Revealing the environmental exposure relationship through effective factors-A systematic review

S Abolli, S Dehghani, R Atlasi, Z Maleki… - Results in …, 2024 - Elsevier
This systematic review focoused on exploring the link between environmental exposure to
arsenic (in air, water, and food pathways) and the occurrence of type 2 diabetes mellitus …

[HTML][HTML] Seismic Performance Prediction of RC, BRB and SDOF Structures Using Deep Learning and the Intensity Measure INp

O Payán-Serrano, E Bojórquez, J Carrillo, J Bojórquez… - AI, 2024 - mdpi.com
The motivation for using artificial neural networks in this study stems from their
computational efficiency and ability to model complex, high-level abstractions. Deep …

Innovative Hybrid Nanomaterials for Precision Biomedical Solutions: Hybrid Nanomaterials for Biomedical Solutions

A Thakur, A Kumar - Innovations and Applications of Hybrid …, 2024 - igi-global.com
Hybrid nanomaterials, combining distinct nanoscale components, are versatile tools for
complex biomedical challenges. Hybrid nanomaterials enhance drug delivery, minimizing …

Applying Machine Learning to Enhance Intrusion Detection Systems

A Garg, N Ramya, R Gupta… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Gadget up to date has shown its effectiveness in several packages, identifying styles and
detecting anomalies. One such software enhances intrusion detection structures (IDS) …