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EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification (2024)
Presentation / Conference Contribution

In the burgeoning field of natural language processing, emotion classification from textual data has emerged as a critical task with applications ranging from sentiment analysis to mental health assessment. This paper explores the utilization of Conv... Read More about EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification.

Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems (2024)
Presentation / Conference Contribution

To determine the degree of diffuseness of a particular acoustic field, an oft-considered metric is the coherence between spaced pairs of measurement microphones. This is useful because the expected theoretical ‘sinc2’ trend for a diffuse field is wel... Read More about Confidence limits for coherence – toward a better understanding of its use as a diffuse field metric for quantifying the quality of Direct Field Acoustic Noise (DFAN) Testing systems.

An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G (2024)
Journal Article
Bunu, S. M., Alani, O. Y., & Saraee, M. (2024). An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G. Future Internet, 16(9), Article 347. https://doi.org/10.3390/fi16090347

Some challenges when implementing the optimized link state routing (OLSR) protocol on real-life devices and simulators are unmanageable: link quality, rapid energy depletion, and high processor loads. The causes of these challenges are link state pro... Read More about An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G.

Artificial Neural Network Algorithm in Nutritional Assessment: Implication for Machine Learning Prediction in Nutritional Assessments (2024)
Book Chapter

In the current study, we used an artificial neural network (ANN) machine learning algorithm to construct an artificial intelligence-based nutritional assessment system. The algorithm used information from a user's regular meals as well as their preex... Read More about Artificial Neural Network Algorithm in Nutritional Assessment: Implication for Machine Learning Prediction in Nutritional Assessments.

PFAS Adsorption on Water Treatment Residues (2024)
Presentation / Conference
Mandal, J. (2024, September). PFAS Adsorption on Water Treatment Residues. Presented at International Conference on Emerging Trends in Water Treatment 2024, Mikkeli, Finland

Per- and polyfluoroalkyl substances (PFAS) represent a family of emerging persistent organic pollutants. In the face of the escalating global challenge of PFAS contamination in water, this study focuses on the removal of, three PFAS viz. perfluorooct... Read More about PFAS Adsorption on Water Treatment Residues.

The BCPM method: decoding breast cancer with machine learning (2024)
Journal Article
Almarri, B., Gupta, G., Kumar, R., Vandana, V., Asiri, F., & Khan, S. B. (in press). The BCPM method: decoding breast cancer with machine learning. BMC Medical Imaging, 24, Article 248. https://doi.org/10.1186/s12880-024-01402-5

Breast cancer prediction and diagnosis are critical for timely and effective treatment, significantly impacting patient outcomes. Machine learning algorithms have become powerful tools for improving the prediction and diagnosis of breast cancer. The... Read More about The BCPM method: decoding breast cancer with machine learning.

Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus. (2024)
Presentation / Conference
Yioutani-Iacovides, M. (2024, September). Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus. Paper presented at Conservation of Architectural Heritage (CAH) – 8th Edition, 2024, Sardinia, Italy & online

Unlisted abandoned vernacular villages have been a challenge for communities and conservation professionals, at many levels; economic, social, and environmental.
This paper focuses on academic research that was initiated 30 years ago to record the... Read More about Abandoned villages revisited: the dilemma of adaptive reuse. Case studies from Cyprus..