Automatic test chip set by Chin, Edward Hsi Ling.

“…In this project, the fundamental functions and basic circuitry of an universal pin electronics are investigated and designed.…”
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Experimental studies of melting PCM in a heat sink by Muhammad Azrin Sa'ad.

“…This project presents the experimental studies and findings of melting phase change material in a heat sink. …”
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Event detection in spatiotemporal soccer data using neural networks by Wilbert

“…This project implements and evaluates three-layer and four-layer artificial neural networks (ANN(3) and ANN(4)) as well as recurrent neural networks (RNNs) for automatic event detection in spatiotemporal soccer data. …”
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Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

“…Finding the optical properties of tissue is essential for various biomedical diagnostic/therapeutic applications such as monitoring of blood oxygenation, tissue metabolism, skin imaging, photodynamic therapy, low-level laser therapy, and photo-thermal therapy. …”
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Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation by Zhang, J, Yang, K, Shi, H, ReiB, S, Peng, K, Ma, C, Fu, H, Torr, PHS, Wang, K, Stiefelhagen, R

“…Third, aside from Pinhole-to-Panoramic ( Pin2Pan ) adaptation, we create a new dataset (SynPASS) with 9,080 panoramic images, facilitating Synthetic-to-Real ( Syn2Real ) adaptation scheme in 360∘ imagery. …”

Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…With enough data, pre-trained Transformer-based sequence-to-sequence models can be fine-tuned and achieve strong performance on abstractive summarization benchmarks. …”
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Examining IoT-based smart campus adoption model: an investigation using two-stage analysis comprising structural equation modelling and artificial neural network by Sneesl, Radhwan, Jusoh, Yusmadi Yah, A. Jabar, Marzanah, Abdullah, Salfarina

“…To analyze the data, a two-stage approach was employed, consisting of structural equation modeling (SEM) and reevaluated with the artificial neural networks (ANN) method. The findings provide evidence supporting the significance of various constructs. …”
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Advanced photovoltaic concepts for perovskite solar cells by Fong, Melvin Shao Feng

“…In this paper, PCBM, PEDOT:PSS, as well as MAPbI3 are used as materials for the fabrication processes In this thesis, various methods would be discussed and spin coating process will be focused on. The paper continues with the analysis of the connection between the number of spins for the hole transport layer (HTL) and electron transport layer (ETL) deposition process, as well as the impact on the efficiency of the PV device.…”
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Controlling the Porosity and Microarchitecture of Hydrogels for Tissue Engineering by Annabi, Nasim, Nichol, Jason W., Zong, Xia, Ji, Chengdong, Koshy, Sandeep Tharian, Khademhosseini, Ali, Dehghani, Fariba

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新谣 ：我们的心声 = Xinyao : our voice by Low, Charlotte Qian Hui

“…By experiencing Xinyao vicariously from my personal sharing, I hope that one will find a connection with the music through nostalgia, know about it a little more and gain interest in it which in turn would allow for a continued preservation of the music.…”
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Home visits by Neo, Alecia Hui Fen

“…Some have lived in this area all their lives, building a tight knit social group within the estate, while others are foreigners, making this place home temporarily. I find myself being captivated by the way these individuals move and rest in their spaces. …”
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Fish classification and deep learning by Zhang, Dawei

“…The biggest problem is how to get a good dataset for training and to find a reliable method to identify fish categories with high accuracy. …”
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Leveraging transfer learning for spatio-temporal human activity recognition from video sequences by Muneer Butt, Umair, Aman Ullah, Hadiqa, Letchmunan, Sukumar, Tariq, Iqra, Hafinaz Hassan, Fadratul, Wei Koh, Tieng

“…Six state-of-the-art pre-trained models are exploited to find the best model for spatial feature extraction. …”
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Utilization of Silica Fume and Sodium Hydroxide in Treated Crumb Rubber for Cement Mortar by Supar, Khairi, Mohammad, Hairuddin, Kaamin, Masiri, Mohammad Azmi, Mohamad Azim, Musa, Mohd Kamaruzaman, Abdul Rahman, Mohammad Ashraf, Ahmad, Hilton, Sugiman, Sugiman

“…Cement mortar offers an excellent replacement for materials such as fine aggregate with tire rubber waste in the form of crumbs. …”
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Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

“…Two different models of Artificial Neural Network(ANN), namely Backpropagation(BP) model and Radial Basis Function(RBF) model, are constructed and evaluated. …”
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Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

“…Electromyography (EMG) signals were recorded from right and left erector spinae musculature during 2 hours riding session. …”
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Hybrid biometric authentication for automatic teller machine by Arokiasamy, Steven R., Tomal, Md Raihanul Islam, Moorthy, Kohbalan, Mohd Daud, Kauthar

“…Unlike traditional password or PIN-based methods, biometric authentication uses unique physical characteristics, such as fingerprints, to verify identity. …”
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Probing spectral features of quantum many-body systems with quantum simulators by Sun, J, Vilchez-Estevez, L, Vedral, V, Boothroyd, AT, Kim, MS

“…We present simulation results for the spectral features of typical quantum systems, either gapped or gapless, including quantum spins, fermions and bosons. We demonstrate how excitation spectra of spin-lattice models can be probed experimentally with IBM quantum devices.…”

Assessment of IoT-driven predictive maintenance strategies for Computed Tomography equipment: a machine learning approach by Mohd Azrul Shazril, Mohammad Habib Shah Ershad, Mashohor, Syamsiah, Amran, Mohd Effendi, Hafiz, Nur Fatinah, Ali, Azizi Mohd, Naseri, Mohd Saiful, Rasid, Mohd Fadlee A.

“…The ANN model achieved an impressive prediction accuracy of 97.58%, proving its relibility in forecasting breakdowns. …”
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