Optimizing the lateral beamforming step for filtered-delay multiply and sum beamforming to improve active contour segmentation using ultrafast ultrasound imaging

Autor: Moubark, AM, Alomari, Z, Mohd Zaman, MH, Zulkifley, MA, Md Ali, SH, Nie, L, Freear, S

As an alternative to delay-and-sum beamforming, a novel beamforming technique called filtered-delay multiply and sum (FDMAS) was introduced recently to improve ultrasound B-mode image quality. Although a considerable amount of work has been performed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::ea1cd5732595b5fded2128b110a91cc4
https://eprints.whiterose.ac.uk/180847/1/1-s2.0-S1746809421008648-main.pdf

Custom Hardware Architectures for Deep Learning on Portable Devices: A Review.

Autor: Zaman KS, Reaz MBI, Md Ali SH, Bakar AAA, Chowdhury MEH

Publikováno v: IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2022 Nov; Vol. 33 (11), pp. 6068-6088. Date of Electronic Publication: 2022 Oct 27.

A machine learning model for early detection of diabetic foot using thermogram images.

Autor: Khandakar A; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia., Chowdhury MEH; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar. Electronic address: mchowdhury@qu.edu.qa., Ibne Reaz MB; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia. Electronic address: mamun@ukm.edu.my., Md Ali SH; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia., Hasan MA; Department of Industrial and Mechanical Engineering, Qatar University, Doha, 2713, Qatar., Kiranyaz S; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar., Rahman T; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar., Alfkey R; Acute Care Surgery and General Surgery, Hamad Medical Corporation, Qatar., Bakar AAA; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia., Malik RA; Weill Cornell Medicine-Qatar, Ar-Rayyan, Qatar.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2021 Oct; Vol. 137, pp. 104838. Date of Electronic Publication: 2021 Sep 09.

Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System.

Autor: Alhasa KM; Space Science Centre (ANGKASA), Institute of Climate Change, Level 5, Research Complex Building, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. kemalalhasa@gmail.com., Mohd Nadzir MS; School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. shahrulnadzir@ukm.edu.my.; Centre for Tropical System and Climate Change (IKLIM), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. shahrulnadzir@ukm.edu.my., Olalekan P; Centre of Atmospheric Sciences, Chemistry Department, University of Cambridge, Cambridge CB2 1EW, UK. oamp2@cam.ac.uk., Latif MT; School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. talib@ukm.edu.my., Yusup Y; Environmental Technology, School of Industrial Technology, Universiti Sains Malaysia, Pulau 11800, Pinang, Malaysia. yusriy@usm.my., Iqbal Faruque MR; Space Science Centre (ANGKASA), Institute of Climate Change, Level 5, Research Complex Building, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. rashed@ukm.edu.my., Ahamad F; Centre for Tropical System and Climate Change (IKLIM), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. fatimah.a@ukm.edu.my., Abd Hamid HH; School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. haris@ukm.edu.my.; Institute for Environmental and Development (LESTARI), Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. haris@ukm.edu.my., Aiyub K; School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. kada@ukm.edu.my., Md Ali SH; Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. sawal@ukm.edu.my., Khan MF; Centre for Tropical System and Climate Change (IKLIM), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. mdfiroz.khan@ukm.edu.my., Abu Samah A; National Antarctic Research Centre, IPS Building, University Malaya, Kuala Lumpur 50603, Malaysia. azizans@um.edu.my., Yusuff I; Nuclear Science Programme, School of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. imranyusuff@ukm.edu.my., Othman M; School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia. murnira@ukm.edu.my., Tengku Hassim TMF; TXMR Sdn Bhd., No.1, Jalan TS 6/10, Taman Industri Subang, Subang Jaya 47500, Selangor, Malaysia. faridtxmr@gmail.com., Ezani NE; Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor Darul Ehsan, Malaysia. elianiezani@upm.edu.my.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2018 Dec 11; Vol. 18 (12). Date of Electronic Publication: 2018 Dec 11.