Computational framework for the simulation of multi material laser powder bed fusion by Tang, Chao, Yao, Liming, Du, Hejun

“…In this regard, here we present a computational model to simulate the L-PBF of multiple materials. …”
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Classifying sarcoma cancer using deep neural networks based on multi-omics data by Azmi, Nur Sabrina, A. Samah, Azurah, Abdul Majid, Hairudin, Ali Shah, Zuraini, Hashim, Haslina, Azman, Nuraina Syaza, Mohamed Hashim, Ezzeddin Kamil

“…Nowadays, the advancement of computational models, especially deep learning, offered promising approaches in solving high-level omics of data with faster processing speed. …”
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The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

“…I hope the review shows that it is still necessary to consider cognition, despite the exciting advances in Big Data, Artificial Intelligence, and computational modelling characterising our field.…”

An integrated knowledge-based system for mechanical design (VOL 1) by Leong, Kar Tshon.

“…A computational model for solving shafting system design problems has been developed. …”
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Mechanical properties of composite materials by Cheng, Bryan Yi Shen

“…The aim of the project is to develop a computational model using ABAQUS and analyse unidirectional fibre reinforced composites (GFRP). …”
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Exploring quantum discord. by Chong, You Quan.

“…More specifically, it was shown that entanglement may not be essential for a mixed state computational model called "Determnistic Quantum Computation with one quantum bit" (DQC1). …”
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Effects of suction heating on a compressor performance by Kattameeran Akbar Ali Ashar Ali.

“…To aid the study, models of the compressor such as thermodynamic, friction, heat transfer, leakage, valve reed and geometrical models were reviewed. A computer model to simulate the overall performance of a rolling piston compressor has been developed. …”
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AcceleNetor: FPGA-accelerated neural network implementation for side-channel analysis by Wang, Di

“…This project aims to explore existing open-source research on FPGA accelerators and optimize them using a more effective computation model. The accelerator will also be implemented such that it can defend against some Side-Channel Attacks. …”
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Taming nonclassical carbocations to control small ring reactivity by McNamee, RE, Frank, N, Christensen, KE, Duarte, F, Anderson, EA

“…Reaction outcomes are rationalized using computational models, resulting in a flowchart to predict product formation from a given cation precursor.…”

E-learning software package for introduction of modern radar technology by Tan, Jason Soon Ee

“…To let students better understand the module "Introduction to Modern Radar", computational models based on Matlab program are developed. …”
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Power of one bit of quantum information in quantum metrology by Cable, Hugo, Gu, Mile, Modi, Kavan

“…We present a model of quantum metrology inspired by the computational model known as deterministic quantum computation with one quantum bit (DQC1). …”
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An encoding scheme capturing generic priors and properties of amino acids improves protein classification by Zhou, Xinrui, Yin, Rui, Zheng, Jie, Kwoh, Chee-Keong

“…However, most computational models require a numeric representation as input. …”
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Simulation of solar cooling system by Goh, Dennis Kim Lai.

“…First is to implement the computational model for the absorption refrigerant system. …”
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Numerical simulation and topology optimization of slider air bearing by Li, Qiang

“…The objective of this dissertation is to develop an efficient computational modeling technique for simulating the air bearing slider (ABS) in hard disk drives and ultimately develop an effective topology optimization methodology to systematically and automatically design the air bearing slider with a target of achieving a near-constant flying attitude when the slider moves over the surface of the hard disk drive. …”
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Feedback inhibition underlies new computational functions of cerebellar interneurons by Halverson, Hunter E., Kim, Jinsook, Khilkevich, Andrei, Mauk, Michael D., Augustine, George James

“…The function of a feedback inhibitory circuit between cerebellar Purkinje cells and molecular layer interneurons (MLIs) was defined by combining optogenetics, neuronal activity recordings both in cerebellar slices and in vivo, and computational modeling. Purkinje cells inhibit a subset of MLIs in the inner third of the molecular layer. …”
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mAb806 binding to epidermal growth factor receptor: a computational study by Ng, Yao Zong, Kannan, Srinivasaraghavan, Lane, David P., Fuentes, Gloria, Verma, Chandra Shekhar

“…To explore this interaction, we combined molecular docking, steered molecular dynamics, and equilibrium molecular dynamics simulations. Our computational models reveal that the antibody induces local unfolding around the epitope to form the antibody–EGFR complex. …”
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Modelling frequency-based neural responses to deep brain stimulation in Parkinson’s disease by Sermon, JJ

“…To investigate observed signal changes from DBS, we analyse and develop computational models of signals whose frequency signature changes in response to neuromodulation. …”

Mechanisms that promote the evolution of cross-reactive antibodies upon vaccination with designed influenza immunogens by Yang, Leerang, Caradonna, Timothy M, Schmidt, Aaron G, Chakraborty, Arup K

“…Here, we develop a computational model to interrogate antibody evolution by affinity maturation after immunization with two types of immunogens: a heterotrimeric "chimera" hemagglutinin that is enriched for the RBS epitope relative to other B cell epitopes and a cocktail composed of three non-epitope-enriched homotrimers of the monomers that comprise the chimera. …”
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Cerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation by Pemberton, J, Chadderton, P, Costa, RP

“…We introduce a computational model of cerebellar networks that learn to drive cortical networks with task-outcome predictions. …”

Azimuthal solar synchronization and aerodynamic neuro-optimization: an empirical study on slime-mold-inspired neural networks for solar UAV range optimization by Graheeth, Hazare, Mohamed Thariq, Hameed Sultan, Dariusz, Mika, Farah Syazwani, Shahar, Grzegorz, Skorulski, Marek, Nowakowski, Andriy, Holovatyy, Ile, Mircheski, Wojciech, Giernacki

“…Our approach integrates a computational model of slime mold networks with a simulation environment to optimize both the solar energy collection and the aerodynamic performance of UAVs. …”
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