Muhammad Iftikhar

E-bostifiaber.acuk

Allbwn ymchwil fesul blwyddyn

Arbenigedd sy’n gysylltiedig â NDC y CU

Yn 2015, cytunodd gwladwriaethau sy’n aelodau'r Cenhedloedd Unedig ar 17 o Nodau Datblygu Cynaliadwy (NDC) byd-eang i ddod â thlodi i ben, diogelu’r blaned a sicrhau ffyniant i bawb. Mae gwaith y person hwn yn cyfrannu at y NDC canlynol:

NDC 2 Dim Newyn
NDC 9 Diwydiant, Arloesi a Seilwaith
NDC 12 Defnyddio a Chynhyrchu’n Gyfrifol
NDC 14 Bywyd o Dan y Dŵr

Ôl bys

Ewch i ganol y pynciau ymchwil lle mae Muhammad Iftikhar ar waith. Mae’r labelau pwnc hyn yn dod o waith y person hwn. Gyda’i gilydd maen nhw’n ffurfio ôl bys unigryw.

1 Proffiliau Tebyg

Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset
Iftikhar, M., Neal, M., Hold, N., Gregory Dal Toé, S. & Tiddeman, B., 11 Mai 2024, Yn: Computers. 13, 5, 29 t., 119.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
3 Dyfyniadau (Scopus)

2 Wedi eu Llwytho i Lawr (Pure)
Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware
Gregory Dal Toe, S., Neal, M., Hold, N., Heney, C., Turner, R., McCoy, E., Iftikhar, M. & Tiddeman, B., 15 Medi 2023, Yn: Sensors. 23, 18, 22 t., 7897.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
5 Dyfyniadau (Scopus)

6 Wedi eu Llwytho i Lawr (Pure)
Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats
Iftikhar, M., Tiddeman, B., Neal, M., Hold, N. & Neal, M., 14 Medi 2023, t. 69-71. 3 t.
Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
188 Wedi eu Llwytho i Lawr (Pure)

New Computer Science Research from Aberystwyth University Described (Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset)
Tiddeman, B. & Iftikhar, M.
31 Mai 2024
1 eitem o Sylw ar y cyfryngau
Y Wasg / Cyfryngau: Sylw yn y cyfryngau
New Information Technology Findings from Aberystwyth University Published (Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware)
Tiddeman, B. & Iftikhar, M.
28 Medi 2023
1 eitem o Sylw ar y cyfryngau
Y Wasg / Cyfryngau: Sylw yn y cyfryngau

Muhammad Iftikhar

Proffil personol

Arbenigedd sy’n gysylltiedig â NDC y CU

Ôl bys

Cydweithrediadau a’r prif feysydd ymchwil yn ystod y pum mlynedd ddiwethaf

Plymio i mewn i'r manylion

Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset

Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware

Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats

New Computer Science Research from Aberystwyth University Described (Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset)

New Information Technology Findings from Aberystwyth University Published (Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware)

Muhammad Iftikhar

Proffil personol

Arbenigedd sy’n gysylltiedig â NDC y CU

Ôl bys

Cydweithrediadau a’r prif feysydd ymchwil yn ystod y pum mlynedd ddiwethaf

Allbwn ymchwil

Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset

Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware

Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats

Toriadau

New Computer Science Research from Aberystwyth University Described (Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset)

New Information Technology Findings from Aberystwyth University Published (Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware)