A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

“…For the purpose of measuring the real-world abilities of students participating in Renewable Energy (RE) vehicle programs at the HVC in Guangzhou, China, this study develops a unique model. The approach employs algorithms for data mining to enhance the accuracy and accessibility of results through the use of Random Forest (RF) and Generalized Additive Models (GAM) in a layering architecture. …”
Get full text

Enhancing boundary friction and wear reduction through adsorption control in protic ionic liquid and carbon mixtures by Mohamed Ariffin, Nur Aisya Affrina, Lee, Chiew Tin, Lee, Mei Bao, Halid, Izzati, Hamdan, Siti Hartini, Ismail, Muhammad Izzal, Chong, William Woei Fong, Zhang, Hedong

“…Through experimental investigation, notable reductions of 19.8 % in friction and 67.2% in wear are demonstrated when [Oley][Oleic] is blended with the optimum CNT concentration at 0.10 wt%. This study employs a friction-derived adsorption model to elucidate the underlying mechanisms of friction. …”

The Almajiri System and Insurgency in the Northern Nigeria: A Reconstruction of the Existing Narratives for Policy Direction by Usman, Abbo, Mohd. Zain, Zawiyah, Njidda, Bashir A

“…This work therefore intends to put the issue into proper perspective by providing a balance argument based on empirical evidence. The work employs an ethnographic design where qualitative data were generated through interviews and focus group discussions. …”
Get full text

Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…The proposed research work employs the system of object detection from CCTV videos around the working sites of company XYZ through a framework that includes image acquisition, data collection, and video data pre-processing, with the implementation of various deep learning algorithms using state-of-the-art models such as You Only Look Once (YOLO) including YOLOv5, YOLOv7, and YOLOv8. …”
Get full text

Comparison of different deep learning object detection algorithms on fruit drying characterization by Umair, Mohammad Yamin, Norazlianie, Sazali, Kettner, Maurice, Mohd Azraai, Mohd Razman, Weiβ, Robert

“…This study showcases the efficacy of employing deep learning object detection models to automate the classification of Tamanu fruit.…”
Get full text

Reconstruction of Modular Data from SL₂(Z) Representations by Ng, Siu-Hung, Rowell, Eric C., Wang, Zhenghan, Wen, Xiao-Gang

“…Our classification employs a hybrid of automated computational methods and by-hand calculations.…”
Get full text

Language, Camera, Autonomy! Prompt-engineered Robot Control for Rapidly Evolving Deployment by Macdonald, Jacob P., Mallick, Rohit, Wollaber, Allan B., Peña, Jaime D., McNeese, Nathan, Siu, Ho Chit

Get full text

A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters by Chevalier, Samuel, Vorobev, Petr, Turitsyn, Konstantin

“…The approach leverages an equivalent circuit representation of the system in the frequency domain and employs a numerical procedure, which makes the problem suitable for real time application. …”
Get full text

Bridging the Health Divide: Achieving Equitable Healthcare Access in Kenya through Artificial Intelligence by Nyakiongora, Geoffrey Mosoti

“…The research addresses the critical need for improved healthcare infrastructure in underserved areas, focusing on the potential of AI to create efficient, adaptable, and contextually appropriate hospital designs. The study employs a mixed-methods approach, combining qualitative analysis of cultural practices and healthcare needs with quantitative data on environmental factors and health statistics. …”
Get full text

Estimating transit’s land-use multiplier: direct and indirect effects on vehicle miles traveled by Sabouri, Sadegh, Ewing, Reid, Kalantari, Hannaneh A.

“…While this topic has gained attention over the past few decades, an agreement regarding the size of the multiplier effect has yet to be reached among researchers. This study employs a multilevel structural equation model and leverages a comprehensive database of household travel survey data from 31 diverse regions. …”
Get full text

Theoretical Design of Molecular Nanostructures for Exciton Control by Castellanos, Maria A.

“…Despite significant advancements, there exists no universal model that can explain the dependence of exciton photophysics on molecular morphology. This thesis employs mathematical and atomistic models to contribute key physical insights into the interdependencies between chromophore spatial organization and exciton dynamics, shaped by inter-chromophore couplings and interactions with the thermal bath. …”
Get full text

Detecting adversarial samples for deep neural networks through mutation testing by Tan, Kye Yen

“…Therefore, in this final year project, two methods were proposed to detect adversarial images with lower computational effort. The first method employs network prediction inconsistency concept, which has shown that adversarial inputs are more sensitive to model mutation than the natural inputs. …”
Get full text

FTP-SC : fuzzy topology preserving stroke correspondence by Yang, Wenwu, Seah, Hock-Soon, Chen, Quan, Liew, Hong-Ze, Sýkora, Daniel

“…This paper introduces the FTP-SC, a fuzzy topology preserving stroke correspondence technique, which is accurate and provides the user more effective control on the correspondence result than previous matching approaches. The method employs a two-stage scheme to progressively establish the stroke correspondence construction between the keyframes. …”
Get full text

A novel light field imaging based 3D geometry measurement technique for turbomachinery blades by Ding, Junfei, Li, Haotian, Ma, Haoxin, Shi, Shengxian, New, Tze How

“…The proposed measurement system employs a microlens array based light-field camera to capture 3D blade geometry into one light-field image, from which 100 new perspective images can be generated and the blade 3D point cloud can be recovered through sophisticated light-field rendering algorithms. …”
Get full text

A carbuncle cure for the Harten-Lax-van Leer contact (HLLC) scheme using a novel velocity-based sensor by Vevek, U. S., Zang, B., New, Tze How

“…This hybrid scheme, referred to as the HLLCT scheme, employs a novel, velocity-based shear sensor. In contrast to the non-local pressure-based shock sensors often used in carbuncle cures, the proposed shear sensor can be computed in a localized manner meaning that the HLLCT scheme can be easily introduced into existing codes without having to implement additional data structures. …”
Get full text

VoxCap: FFT-accelerated and Tucker-enhanced capacitance extraction simulator for voxelized structures by Wang, Mingyu, Qian, Cheng, White, Jacob K., Yucel, Abdulkadir C.

“…(ii) During the iterative solution, VoxCap uses a highly effective and memory-efficient preconditioner that reduces the number of iterations significantly. (iii) VoxCap employs Tucker decompositions to compress the block Toeplitz and circulant tensors, requiring the largest memory in the simulator. …”
Get full text

Intelligent departure metering assistant tool (IDMAT) for airside congestion management by Ali, Hasnain, Pham, Duc-Thinh, Tran, Thanh-Nam, Alam, Sameer

“…We further develop an Intelligent Departure Metering Assistant Tool (IDMAT) that employs the trained DM policy to recommend pushback advisories to Air Traffic Controller (ATCO). …”
Get full text

Standalone immersion cooling for high performance servers by Liang, Wayne

“…These components are housed within an enclosed tank to facilitate continuous condensation and evaporation cycles. The study employs a two-phase immersion cooling approach and by varying parameters such as CPU load and condenser temperature to investigate cooling effects. …”
Get full text

Deep learning for human motion generation by Gu, Chenyang

“…LMM tackles these challenges from three principled aspects: 1) Data: Datasets with different modalities, formats and tasks are consolidated into a comprehensive yet unified motion generation dataset, MotionVerse, comprising 10 tasks, 16 datasets, a total of 320k sequences, and 100 million frames. 2) Architecture: An articulated attention mechanism ArtAttention that incorporates body part-aware modeling into Diffusion Transformer backbone is designed. 3) Pre-Training: A novel pre-training strategy is proposed for LMM, which employs variable frame rates and masking forms, to better exploit knowledge from diverse training data. …”
Get full text

An FPGA-based real-time drone detection system by Cui, Kaixiang

“…In the hardware domain, this paper employs an image processing architecture with 32 parallel processing elements to handle the detected event slices. …”
Get full text