On-chain analysis and cryptocurrency price forecasting using on-chain metrics by Sharma, Akshat

“…The project examines the effectiveness of on-chain metrics of 4 cryptocurrencies namely - Bitcoin, Ethereum, Dash and Dogecoin in predicting the price movements of cryptocurrencies using various forecasting models such as GARCH+SARIMAX, Bidirectional LSTM and Prophet model. The research findings reveal that on-chain metrics are useful in forecasting cryptocurrency prices, with the Prophet model achieving high levels of accuracy but only for short-term forecasts. …”
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Understanding early molecular mechanisms of abnormal myelination in neurological conditions by characterising Ermin deficiency by Oh, Sher Li, Ziaei, Amin, Tan, Liang Juin, Utami, Kagistia Hana, Pouladi, Mahmoud A., Langley, Sarah Raye

“…Our observations suggest that there are common mechanisms between Ermin deficiency and biological processes influenced by genetic variants of genetic generalised epilepsy. Our findings demonstrate that in the Ermin-deficient model of abnormal myelination, early changes in transcription factor expression are associated with dysregulation in oligodendrocyte differentiation, synaptic organisation, and protein modification. …”
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Improved packing for fully homomorphic encryption with reverse multiplication friendly embeddings by Sim, Jun Jie

“…While this vast amount of data can provide key revelations and significant findings for businesses, there is a rising trend of individuals lobbying for proper management of this data. …”
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Enhancing downstream ML performance with unconditional diffusion models for return predictions by Agarwala, Pratham

“…These include: (1)Discriminative Score: measures classifier’s ability to differentiate between real and synthetic. (2) Mutual Information Coefficient: measures amount of shared information between the synthetic and real. (3) Variation in Information: Evaluates the diversity within the synthetic data. Findings indicate a direct link between these factors and model performance, with high-diversity and optimal fidelity datasets enhancing forecasting accuracy. …”
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Trajectory prediction of dynamic obstacles in fleet management systems by Quintero, Dann Marko Gayanes

“…This pursuit focuses on various methodologies, including the possibility of integrating multiple algorithms to achieve superior performance. The findings of this research contribute significantly to the ongoing efforts aimed at optimizing trajectory prediction methods within fleet management systems. …”
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Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

“…In conclusion, this research underscores the potential of integrating computational simulations with advanced machine learning techniques to assess the sheltering factor of covered linkways against UAV collisions. The findings provide valuable insights for engineering analysis and design, contributing to improved understanding and design optimization of protective structures in UAV-prone environments.…”
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Experimental study of steel beam-column joints with novel slot-bolted connections under a central-column-removal scenario by Ma, You-Xin, Chen, Shuang, Tan, Kang Hai

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Advancing beyond conformal conflict resolution in air traffic control: balancing efficiency and conformance by Guleria, Yash, Pham, Duc-Thinh, Alam, Sameer

“…ATCO feedback also indicated that such a conflict resolution advisory mechanism could prove useful in improving controller decision-making. These findings highlighted the need for further research into adaptive conflict resolution models that can potentially better balance the tradeoffs between optimal- and conformal resolution models.…”
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Our model achieves excellent performance on movielens: what does it mean? by Fan, Yu-Chen, Ji, Yitong, Zhang, Jie, Sun, Aixin

“…In this study, we conduct a meticulous analysis of the MovieLens dataset and explain the potential impact of using the dataset for evaluating recommendation algorithms. We make a few main findings from our analysis. First, there are significant differences in user interactions at the different stages when a user interacts with the MovieLens platform. …”
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Unified assessment of mass loss behaviors in soluble, biodegradable, and internally erodible geomaterials by Guo, Yuliang, Zhao, Budi, Pi, Xiaoqing, Fei, Xunchang

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Experimental investigation of impact response of composite plates/panels by Gan, Jia Li

“…In this report, it provides a review of the author‟s results and findings on the impact response of acrylic sandwich panel. …”
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Biologically inspired visual intelligence for unmanned ground vehicles by Peyman Moghadam

“…Based on these findings, vanishing point is considered as a salient and consistent feature during most of the open driving behavior tasks regardless of type of the environments. …”
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Removal of noxious environmental pollutant using photocatalytic membrane reactor by Yeap, Ken Vin.

“…It is evident from the finding that the as synthesize membrane are reproducible. …”
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Spatial aware information retrieval for community-based Q&A (SIRCQA) by Ang, Eugene Soon Leong

“…Lastly, the concern of incorporating query expansion to add other similar or implied location terms deduced by the spatial relationship cue (term) found in queries was examined. From the findings, effective measures were thoughtfully constructed and utilized to improve the search results. …”
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Service quality gaps in the container shipping industry by Phua, Jia Hui.

“…Thereafter, a survey was conducted with shippers and container liner service providers to confirm the validity of the proposed SQ model. In the survey findings, the SQ dimensions: Outcome, Tangible and Process have been identified as top priorities for shippers with SQ attributes associated to reliability, competitive pricing and vessel slot availability being the top concerns of shippers. …”
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Establishment and optimization of induced pluripotent stem cell technologies by Amir Morshedi

“…Reprogramming of adult somatic cells into an embryonic stem cell (ESC) state by various transcription factors has been the start of a new era in the field of biomedical sciences. This finding has had tremendous impact on drug discovery and disease modeling and there is great hope for these cells to replenish body cells for therapy. …”
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Experimental studies and model development for individual-specific fall detection by Hu, Xinyao

“…The fall indicators were selected based on the experimental findings from the first study. The proposed fall detection model was individual-specific, since it was constructed using the individual historical movement data. …”
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Evaluation of context awareness algorithms for recommending mobile content by Dong, Hong Liang

“…The experiment results indicated that the location-based generalized pre-filtering algorithm has higher accuracy than weight post-filtering algorithm; and for generalized pre-filtering, accuracy of usage increases when the range of generalized location increases reasonably. The findings and the way of systematic evaluation on mobile context-aware recommender system would benefit the selection process of context-awareness recommendation algorithms for mobile content.…”
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Fluid velocity slip and temperature jump at a solid surface by Teo, Melvin Ji Bin

“…Despite the long history of the jump boundary conditions, most of the existing theoretical models for gas- solid and liquid-solid interfaces fail to provide satisfactory predictions of experimental findings. We first develop an adsorption model for fluid-solid interactions that is applicable to both gases and liquids. …”
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g-C3N4/ZnO hybrid material as photocatalyst for photocatalytic CO2 reduction by Hu, Zhaoning

“…Further study could concentrate on exploring the detailed mechanism in g-C3N4 synthesizing process, finding the optimal amount of g-C3N4 in the hybrid material and trying alternative g-C3N4 synthesizing method to grow g-C3N4 on other ZnO morphologies to get better photocatalytic CO2 reduction performance.…”
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