| Feb. 13, 2024, 4:19 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 62273, "fields": {"project": 10466, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2026-03-31", "raw_data": 176562}}]
|
|
| Jan. 30, 2024, 4:24 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 55116, "fields": {"project": 10466, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2026-03-31", "raw_data": 151897}}]
|
|
| Jan. 2, 2024, 4:15 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 47916, "fields": {"project": 10466, "organisation": 2, "amount": 0, "start_date": "2022-10-01", "end_date": "2026-03-31", "raw_data": 131646}}]
|
|
| Dec. 5, 2023, 4:23 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 40667, "fields": {"project": 10466, "organisation": 2, "amount": 0, "start_date": "2022-09-30", "end_date": "2026-03-30", "raw_data": 97136}}]
|
|
| Nov. 27, 2023, 2:14 p.m. |
Added
35
|
{"external_links": []}
|
|
| Nov. 21, 2023, 4:37 p.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 33372, "fields": {"project": 10466, "organisation": 2, "amount": 0, "start_date": "2022-09-30", "end_date": "2026-03-30", "raw_data": 55882}}]
|
|
| Nov. 21, 2023, 4:37 p.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 96459, "fields": {"project": 10466, "organisation": 11077, "role": "LEAD_ORG"}}]
|
|
| Nov. 21, 2023, 4:37 p.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 60534, "fields": {"project": 10466, "person": 14606, "role": "SUPER_PER"}}]
|
|
| Nov. 20, 2023, 2:04 p.m. |
Updated
35
|
{"title": ["", ""Establishment of a long short-term memory (LSTM) model using the Hilbert-Huang transform (HHT) to forecast the current outputs of biophotovoltaic dev"], "description": ["", "\nStriving towards renewable energy technologies, biophotovoltaic devices (BPVs), which generate electricity using\nsunlight and microbes like cyanobacteria, can pose a great potential. However, several challenges such as a low power\noutput and optimisation difficulties (due to many unpredictable parameters) still need to be met for commercialisation.\nWith the goal to overcome some of these challenges, Tonny Okedi (as a PhD student in Dr Adrian Fisher's research\ngroup) decomposed BPVs' current outputs using the Hilbert-Huang transform (HHT). He concluded that the obtained\noscillatory subcomponents, so-called intrinsic model functions (IMFs), may create the basis for a long short-term memory\n(LSTM) model which can more accurately predict the BPVs' current outputs at various conditions. Building upon Tonny's\nwork, my PhD research may aim to determine the IMFs' individual physical meanings through experiments. Moreover,\nthe individual IMFs could be modelled and subsequently combined to establish an LSTM model that forecasts the BPVs'\ncurrent outputs. Lastly, by further examining the BPVs' sensitivities with regards to, for example, light intensities and\ninorganic carbon levels, a more accurate LSTM model can be developed that estimates current outputs for a wider range\nof operating conditions. As a result, the obtained LSTM model of BPVs could represent a great advancement with\nregards to BPVs' optimisation and, consequently, their commercialisation.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
|
|
| Nov. 20, 2023, 2:04 p.m. |
Added
35
|
{"external_links": [43348]}
|
|
| Nov. 20, 2023, 2:04 p.m. |
Created
35
|
[{"model": "core.project", "pk": 10466, "fields": {"owner": null, "is_locked": false, "coped_id": "afa09cb5-a866-4110-967b-2ebd3e4800c4", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 55865, "created": "2023-11-20T13:39:01.627Z", "modified": "2023-11-20T13:39:01.627Z", "external_links": []}}]
|
|