Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method by Ajmal Khan, Noor Amirah, Marjugi, Siti Mahani

“…As a result, using previous COVID-19 data in Selangor, an artificial neural network (ANN) is used as an effective future prediction method. …”
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Structural performance of recycled aggregate concrete-filled stainless steel tube columns by Tan, Chia Wei

“…The experiment involved 12 RACFSST columns tested under pin-ended condition, as well as material tests and initial global geometric imperfection measurements. …”
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Design and 3D printing of reconfigurable structures by Teo, Ee Hian

“…The structure is made up of single modular units being repeatedly fixed together, this leads to the structure to isolate single modular units that are damaged, allowing it to be easily pin-pointed and replaced by fabricating another similar single unit, this cut cost as the structure can be salvaged by replacing a single unit instead of the whole structure.…”
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Tie the knot - a step by step wedding planner by Alex Arvin S Susaipillai

“…The creation comprises essential management tools such as wedding checklist, reminders, budget tracker, guestlist, online electronic invitation and RSVP system with SMS function, seating plan, calendar function, vendor list, pin board, wedding day scheduler and chat function…”
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Battery state of charge estimation for electric vehicle using Kolmogorov-Arnold networks by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Amir Izzani, Mohamed, Ahmad Salihin, Samsudin, Muhammad Ikram, Mohd Rashid

“…These findings highlight the potential of KAN for enhancing SoC estimation accuracy in EV applications.…”
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Investigation of the contribution of bioaerosol loading to indoor PM pollution on university campus in Singapore by Lee, Brandon Jia Hao

“…Fine particles could be mitigated safely for occupants with an electrostatic precipitator and future work could expound on elevated fungi concentrations in an indoor environment and fine particle mitigation strategies.…”
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Interpreting learned feedback patterns in large language models by Marks, L, Abdullah, A, Neo, C, Arike, R, Krueger, D, Torr, P, Barez, F

“…To test this, we train probes to estimate the feedback signal implicit in the activations of a fine-tuned LLM. We then compare these estimates to the true feedback, measuring how accurate the LFPs are to the fine-tuning feedback. …”

Unjust energy transition: vignettes from the COPs, climate finance and a coal hotspot by Sud, N

“…Contributing to critical climate and energy studies, the paper spans scale, space, and time in its interrogation of the unjust energy transition.…”

Evaluating new malaria vaccine candidates by Noé, A

“…Vaccine-induced protection from liver-stage malaria requires high numbers of CD8+ T cells to find and kill <em>Plasmodium</em>-infected liver cells. …”

The theory of complex network sensing. by Wang, Yidan.

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Effect of porous density of twisted tape inserts on heat transfer performance inside a closed conduit by Rahman, Md Tauhidur, Habib, Khairul, Quader, Md Niamul, Aslfattahi, Navid, Kadirgama, Kumaran, Das, Likhan

“…Subsequently, a three-dimensional fluid flow model was employed to solve equations related to energy mass, energy, and momentum within the ANSYS Fluent interfaces. The findings highlight the noteworthy impact of high porosity TTIs, which consistently reduce temperature spans, increase fluid velocities, and greatly HTC and Nu when compared to low porosity TTI, typical TTI, and plain tubes. …”
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Modular Morphing Lattices for Large-Scale Underwater Continuum Robotic Structures by Parra Rubio, Alfonso, Fan, Dixia, Jenett, Benjamin, del Águila Ferrandis, José, Tourlomousis, Filippos, Abdel-Rahman, Amira, Preiss, David, Zemánek, Jiri, Triantafyllou, Michael, Gershenfeld, Neil

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Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling by Ma, Shuzhen, Geok Soh, Kim, Japar, Salimah, Xu, Simao, Zhicheng, Guo

“…Linear regression analysis confirmed the ANN's accurate predictions. The findings emphasize integrating data-driven core strength training tailored for badminton into comprehensive programs can help optimize physical abilities and elevate performance levels. © 2024 The Authors…”
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Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
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Characterization of broadband Wireless LAN channels by Sun, Sumei.

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SP.776 / SP.786 Design for Demining, Spring 2005 by Heafitz, Andrew, Linder, Benjamin M.

“…MIT Design for Demining is a design course that spans the entire product design and development process from identification of needs and idea generation to prototyping and blast testing to manufacture and deployment. …”
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SimSC: a simple framework for semantic correspondence with temperature learning by Li, X, Han, K, Wan, X, Prisacariu, VA

“…We discover that when fine-tuning ImageNet pre-trained backbone on the semantic matching task, L2 normalization of the feature map, a standard procedure in feature matching, produces an overly smooth matching distribution and significantly hinders the fine-tuning process. …”

Finite element analysis on post-buckling of thin-walled structures using ANSYS by Theint, Yi Mon

“…The results obtained were checked against experimental data and led to the development and the revision of design procedures for the pin-ended lipped column and hollow box section.…”
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Field instrumentation for performance assessment of Geobarrier System by Rahardjo, Harianto, Qian, Zhai, Satyanaga, Alfrendo, Leong, Eng Choon, Wang, Chien Looi, Wong, Johnny Liang Heng

“…The saturated hydraulic conductivity of a coarse-grained material is normally higher than that of a fine-grained material. However, the unsaturated hydraulic conductivity of the coarse-grained material decreases much faster than that of the fine-grained material with increasing matric suction and consequently the coarse-grained material can be less permeable than the fine-grained material in unsaturated condition. …”
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A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs by Natarajan, Pradeep, Shrinivas, Krishna, Chakraborty, Arup K

“…To study the consequences of this mechanism, we developed and studied a dynamical phase-field model. We find that proximal lncRNAs can promote condensate formation at the BL. …”
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