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Menampilkan 1–5 dari 5 artikel
Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features
Vineeta Khemchandani
; Alok Singh Chauhan
; Shahnaz Fatima
; Jalauk Singh Maurya
; Abhay Singh Rathaur
; Kumar Sharma, Narendra
; Daya Shankar Srivastava
; Vugar Abdullayev
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Cognitive workload plays a vital role in tasks that demand dynamic decision-making, especially under high-risk and time-sensitive conditions. An excessive workload can lead to unexpected and disproportionate risks, whereas insufficient workload may cause disengagement, undermining task performance. This underscores the importance of maintaining an optimal level of mental focus in high-pressure situations to ensure successful task execution. This study leverages deep learning methods alongside fu...
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A Hybrid Deep-Learning and Evolutionary Feature-Selection Framework for Skin Lesion Classification: Application to Monkeypox Detection
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
The recent resurgence of Monkeypox has highlighted the urgent need for fast and accurate diagnostic tools. In this paper, we propose a new framework of hybrid deep learning to combine both DenseNet121 and MobileNetV2 to obtain both rich and supplementary attributes of the skin lesion images. By pooling the outputs of these two models in terms of features, we get the lightweight representation of the images as well as rich representations of the images. To improve the feature set, we use Genetic...
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Real-World Emission Assessment of Diesel Passenger Cars in Urban Traffic: A Comparative Analysis of Compliance with Bharat Stage VI Standards
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
Urban air pollution, significantly influenced by vehicle emissions, poses severe health risks, particularly in rapidly urbanizing cities. This study investigates real-world emissions from diesel-powered passenger cars under mixed traffic conditions, focusing on compliance with Bharat Stage VI (BS VI) standards. Using Portable Emission Measurement Systems (PEMS), emission factors for Carbon Monoxide (CO), Oxides of Nitrogen (NOx), and the combined mass of Hydrocarbons and Oxides of Nitrogen (THC...
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1 Sitasi
Enhancing Vocabulary Mastery in Narrative Text through Wordwall Game
Ambar Nur Aisiyah, Almadani
; Mulyadi, Dodi
; Budiastuti, Riana Eka
; Wijayatiningsih, Testiana
; Singh, Charanjit Kaur Swaran
ETERNAL: English Teaching Journal
Vol 15
, No 2
(2024)
Enhancing vocabulary mastery through the Wordwall game is important because students often face several common difficulties in mastering English vocabulary, such as lack of engagement, limited exposure to new words, and difficulty in retaining vocabulary. This study aims to answer whether the use of the Wordwall game can improve eighth-grade students' English vocabulary mastery. Classroom action research was conducted using four stages: planning, acting, observing, and reflecting. Data were gath...
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Machine Learning and Cryptanalysis: An In-Depth Exploration of Current Practices and Future Potential
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
The rapidly evolving landscape of cryptanalysis necessitates an urgent and detailed exploration of the high-degree non-linear functions that govern the relationships between plaintext, key, and encrypted text. Historically, the complexity of these functions has posed formidable challenges to cryptanalysis. However, the advent of deep learning, supported by advanced computational resources, has revolutionized the potential for analyzing encrypted data in its raw form. This is a crucial developmen...
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22 Sitasi