Results 101 to 110 of about 441 (179)

Design of Network-on-Chip-Based Restricted Coulomb Energy Neural Network Accelerator on FPGA Device. [PDF]

Sensors (Basel)
Kang S, Lee S, Jung Y.
europepmc   +1 more source

Advancing Colorimetric Analysis in Enzyme-Linked Immunosorbent Assays: Harnessing Nonlinear Regression for Improved Accuracy and Predictive Performance. [PDF]

ACS Omega
Mirhosseini S, Faghih Nasiri A, Khatami F, Mirzaei A, Aghamir SMK, Swami NS, Kolahdouz M.   +6 more
europepmc   +1 more source

Progress in silicon-based reconfigurable and programmable all-optical signal processing chips. [PDF]

Front Optoelectron
Xu J, Dong W, Huang Q, Zhang Y, Yin Y, Zhao Z, Zeng D, Gao X, Gu W, Yang Z, Li H, Han X, Geng Y, Zhai K, Chen B, Fu X, Lei L, Wu X, Dong J, Su Y, Li M, Liu J, Zhu N, Guo X, Zhou H, Wen H, Qiu K, Zhang X.   +27 more
europepmc   +1 more source

Accelign: a GPU-based library for accelerating pairwise sequence alignment. [PDF]

BMC Bioinformatics
Kallenborn F, Dabbaghie F, Steinegger M, Schmidt B.   +3 more
europepmc   +1 more source

Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs. [PDF]

Sci Rep
Zhao Y, Wang B.
europepmc   +1 more source

Dynamic Buffer Management in Massively Parallel Systems: The Power of Randomness. [PDF]

ACM Trans Parallel Comput
Pham M, Yuan Y, Li H, Mou C, Tu Y, Xu Z, Meng J.   +6 more
europepmc   +1 more source

FPGA architecture based on OpenCL for studying the acoustic backscattering by an immersed tube. [PDF]

Heliyon
Hadji M, Elhanaoui A, Skouri R, Agounad S.   +3 more
europepmc   +1 more source

Close to the metal: Towards a material political economy of the epistemology of computation. [PDF]

Soc Stud Sci
Rella L.
europepmc   +1 more source

Oxidation-free nanoscale optomechanical sensor incorporating a triangular truss resonator for crosstalk-free bimodal pressure and temperature sensing. [PDF]

RSC Adv
Taharat A, Kabir MA, Keats AI, Rakib AKM, Sagor RH.   +4 more
europepmc   +1 more source

Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms. [PDF]

Sci Rep
Alagumariappan P, Sathyamoorthy M, Dhanaraj RK, Kamalanand K, Emmanuel C, Allabun S, Othman M, Getahun M, Soufiene BO.   +8 more
europepmc   +1 more source