Outputs (4961)

Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers (2023)
Journal Article
Vasantha, G., Corney, J., & Upadhyay, C. K. (2023). Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers. Knowledge, 3(4), 626-641. https://doi.org/10.3390/knowledge3040039

Crowdsourcing offers on-demand access to large numbers of human workers to implement new forms of human–computer collaborative functionalities that can be seamlessly integrated into advanced software and algorithms. However, crowdsourcing tasks are p... Read More about Cognitive Factors Affecting the Manufacturing Optimization Skills of Rural Indian BPO Workers.

Learning based motion artifacts processing in fNIRS: a mini review (2023)
Journal Article
Zhao, Y., Luo, H., Chen, J., Loureiro, R., Yang, S., & Zhao, H. (2023). Learning based motion artifacts processing in fNIRS: a mini review. Frontiers in Neuroscience, 17, Article 1280590. https://doi.org/10.3389/fnins.2023.1280590

This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting the challenges of maintaining optimal contact during subject movement, which can lead to MA... Read More about Learning based motion artifacts processing in fNIRS: a mini review.

A horizon scan of issues affecting UK forest management within 50 years (2023)
Journal Article
Tew, E. R., Ambrose-Oji, B., Beatty, M., Büntgen, U., Butterworth, H., Clover, G., Cook, D., Dauksta, D., Day, W., Deakin, J., Field, A., Gardiner, B., Harrop, P., Healey, J. R., Heaton, R., Hemery, G., Hill, L., Hughes, O., Khaira-Creswell, P. K., Kirby, K., …Sutherland, W. J. (2024). A horizon scan of issues affecting UK forest management within 50 years. Forestry, 97(3), Article cpad047. https://doi.org/10.1093/forestry/cpad047

Forests are in the spotlight: they are expected to play a pivotal role in our response to society’s greatest challenges, such as the climate and biodiversity crises. Yet, the forests themselves, and the sector that manages them, face a range of inter... Read More about A horizon scan of issues affecting UK forest management within 50 years.

Colours and Shapes-Perspective from Ghanaians on BIPV Aesthetic Optimisation (2023)
Journal Article
Awuku, S. A., Bennadji, A., Muhammad Sukki, F., Prabhu, R., & Sellami, N. (2023). Colours and Shapes-Perspective from Ghanaians on BIPV Aesthetic Optimisation. International Journal of Structural and Civil Engineering Research, 12(4), 117-121. https://doi.org/10.18178/ijscer.12.4.117-121

Colours, texture and shapes of Buildings Integrated Photovoltaic (BIPV) have been fully explored in recent times to match mainstream architectural aesthetics. This study aims at getting some perspectives from Ghanaians when it comes to the colours an... Read More about Colours and Shapes-Perspective from Ghanaians on BIPV Aesthetic Optimisation.

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions (2023)
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., Tan, Z., & Hussain, A. (2024). Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3

ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting... Read More about Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.

Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction (2023)
Journal Article
Aziz, A., Hossain, M. A., Chy, A. N., Ullah, M. Z., & Aono, M. (2023). Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction. Natural Language Processing Journal, 5, Article 100039. https://doi.org/10.1016/j.nlp.2023.100039

Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentence. LCP has a significant impact on the enhancement of language translations, readability assessment, and text generation. However, the domain-specific... Read More about Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction.

AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks (2023)
Journal Article
Ali, S., Tan, S. C., Lee, C. K., Yusoff, Z., Haque, M. R., Mylonas, A., & Pitropakis, N. (2023). AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks. Sensors, 23(21), Article 8922. https://doi.org/10.3390/s23218922

Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely distinguishes it from the traditional networking paradigms because it provides a g... Read More about AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks.

Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities (2023)
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., Min, G., Zomaya, A., & Alsamhi, S. (2024). Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials, IEEE Communications Society, 26(2), 1080 - 1126. https://doi.org/10.1109/comst.2023.3329472

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting in the fourth industrial revolution, Industry 4.0. T... Read More about Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities.

Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database (2023)
Journal Article
Toma, T. A., Biswas, S., Miah, M. S., Alibakhshikenari, M., Virdee, B. S., Fernando, S., Rahman, M. H., Ali, S. M., Arpanaei, F., Hossain, M. A., Rahman, M. M., Niu, M., Parchin, N. O., & Livreri, P. (2023). Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database. Radio Science, 58(11), Article e2023RS007761. https://doi.org/10.1029/2023rs007761

Presented here are the results of an investigation conducted to determine the effectiveness of deep learning (DL)‐based systems utilizing the power of transfer learning for detecting breast cancer in histopathological images. It is shown that DL mode... Read More about Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database.

A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm (2023)
Journal Article
Yasin Ghadi, Y., Alshehri, M. S., Almakdi, S., Saidani, O., Alturki, N., Masood, F., & Shahbaz Khan, M. (2023). A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm. Computers, Materials & Continua, 77(1), 781-797. https://doi.org/10.32604/cmc.2023.042777

Securing digital image data is a key concern in today’s information-driven society. Effective encryption techniques are required to protect sensitive image data, with the Substitution-box (S-box) often playing a pivotal role in many symmetric encrypt... Read More about A New S-Box Design System for Data Encryption Using Artificial Bee Colony Algorithm.