Modeling of an intelligent pressure sensor using functional link artificial neural networks by Patra, Jagdish Chandra, Van den Bos, Adriaan

“…A capacitor pressure sensor (CPS) is modeled for accurate readout of applied pressure using a novel artificial neural network (ANN). The proposed functional link ANN (FLANN) is a computationally efficient nonlinear network and is capable of complex nonlinear mapping between its input and output pattern space. …”
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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…”
Get full text

Electronic structure of paramagnetic transition metal complexes by Al-Ameed, K

“…In Chapter 3, we address the question of redox-dependent spin transitions in triangular iron complexes. Experiments have shown that one-electron reduction of a pyrazolate-bridged Fe^III₃ cluster drives a transition from high- to low-spin configurations at all three metal centres. …”

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.…”
Get full text
Get full text

Search for diphoton resonances in the 66 to 110 GeV mass range using pp collisions at s = 13 TeV with the ATLAS detector by Aad, G, Abbott, B, Abeling, K, Abicht, NJ, Abidi, SH, Aboulhorma, A, Abramowicz, H, Abreu, H, Abulaiti, Y, Acharya, BS, Adam Bourdarios, C, Adamczyk, L, Addepalli, SV, Addison, MJ, Adelman, J, Adiguzel, A, Adye, T, Affolder, AA, Afik, Y, Agaras, MN, Agarwala, J, Aggarwal, A, Agheorghiesei, C, Ahmad, A, Barr, AJ, Bortoletto, D, Bruckler, TL, Celli, F, Chen, M, Conroy, EI, Cooper-Sarkar, AM, Draguet, MA, Eberwein, GH, Frost, JA, Gallas, EJ, Grundy, JC, Gwenlan, C, Harris, YT, Hays, CP, Huffman, TB, Iizawa, T, Karava, K, Koch, SF, Li, Z, Nagai, K, Nedic, L, Nickerson, RB, Pacey, HA, Rossi, E, Ruggiero, A, Schopf, E, Shipsey, IPJ, Smith, HA, Veliscek, I, Viehhauser, GHA, Wei, Y, Weidberg, AR, Yan, S

“…A search is performed for light, spin-0 bosons decaying into two photons in the 66 to 110 GeV mass range, using 140 fb−1 of proton-proton collisions at s = 13 TeV produced by the Large Hadron Collider and collected by the ATLAS detector. …”

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.…”
Get full text

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. …”

Topochemical manipulation of some complex transition metal oxides by Amano Patiño, ME

“…However, upon cooling (T < 250 K) a phase transition is observed in which the nickel spins interact ferromagnetically, while the ruthenium cations appear to undergo a change in spin configuration to a diamagnetic spin state. …”

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. …”

Skyrmion qubits: challenges for future quantum computing applications by Psaroudaki, Christina, Peraticos, Elias, Panagopoulos, Christos

“…Experimental methods capable of nondestructively resolving the quantum aspects of topological spin textures, their local dynamical response, and their functionality now promise practical device architectures for quantum operations. …”
Get full text

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

Get full text

Structure and dynamics of magnetic domain walls in multi-sublattice magnetic oxides by Huang, Siying

“…Spintronics is a study that lies at the intersection of magnetics and electronics, which makes use of the electron spin in solid-state devices for data storage and manipulation. …”
Get full text

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…”
Get full text

Search for Higgs boson pair production in the bbW+W− decay mode in proton-proton collisions at √𝑠 = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M.

“…In addition, limits are set on the resonant HH production via spin-0 and spin-2 resonances within the mass range 250–900 GeV.…”
Get full text

Exploring New Frontiers in High Energy Physics: Boosted Resonances Decaying To Quarks, Foundation Models, and Heterogeneous Computing at the CMS Experiment by Krupa, Jeffrey

“…This analysis presents the most sensitive limits for new spin-1 bosons coupling universally to quarks and spin-0 bosons coupling preferentially to heavier quarks. …”
Get full text

Minimal power manoeuvring techniques in nano-satellites by Lim, Noel Wei Shen

“…For the second design, a 6⁰ ramp angle & 2.389cm ramp length can spin a nano-satellite of the same dimensions and mass by 1.5⁰/s as well. …”
Get full text

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. …”
Get full text