MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
{
"batchcomplete": "",
"continue": {
"lecontinue": "20250505011232|333",
"continue": "-||"
},
"query": {
"logevents": [
{
"logid": 343,
"ns": 0,
"title": "SSAF",
"pageid": 194,
"logpage": 194,
"revid": 1347,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2026-06-28T19:47:18Z",
"comment": "Created page with \"= Space Seeds for Asian Future (SSAF) = '''Space Seeds for Asian Future (SSAF)''' is an international education and research program organized by the [[Japan Aerospace Exploration Agency]] (JAXA) under the '''Kibo-ABC (Asian Beneficial Collaboration through Kibo Utilization)''' initiative of the [[Asia-Pacific Regional Space Agency Forum]] (APRSAF). The program uses the ''Kibo'' Japanese Experiment Module aboard the [[International Space Station]] (ISS) to engage studen...\""
},
{
"logid": 342,
"ns": 6,
"title": "File:7th KRPC COMMING SOON.png",
"pageid": 193,
"logpage": 193,
"revid": 1341,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2026-06-12T22:20:06Z",
"comment": ""
},
{
"logid": 341,
"ns": 6,
"title": "File:7th KRPC COMMING SOON.png",
"pageid": 193,
"logpage": 193,
"revid": 1341,
"params": {
"img_sha1": "0hryugn511oii6rgeatta4qg2ezlhs9",
"img_timestamp": "2026-06-12T22:20:06Z"
},
"type": "upload",
"action": "upload",
"user": "Admin",
"timestamp": "2026-06-12T22:20:06Z",
"comment": ""
},
{
"logid": 340,
"ns": 0,
"title": "7KRPC",
"pageid": 192,
"logpage": 192,
"revid": 1340,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2026-06-12T22:16:24Z",
"comment": "Created page with \"==7th Kibo Robot Programming Challenge(KRPC)== ===What is KRPC?=== <div class=\"wk_container\"> The Kibo Robot Programming Challenge is an educational program in which students solve various problems by programming free-flying robots (Astrobee and Int-Ball) in the International Space Station (ISS). The Kibo-RPC will inspire students to develop their educational and professional goals to a higher level. Participants will have the opportunity to learn cutting-edge methodol...\""
},
{
"logid": 339,
"ns": 0,
"title": "Product/fam",
"pageid": 191,
"logpage": 191,
"revid": 1236,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-07-15T11:08:21Z",
"comment": "Created page with \"ami ashole ki bolbo jani na. ei group e sbar sathe tal miliye enjoy korte parchi na. ami amar mner theke bolchi. ami jeta moner theke pari na seta ami korte pari na. ami mentally vishon vabe disturbed.\""
},
{
"logid": 338,
"ns": 0,
"title": "Product/mit smiles",
"pageid": 190,
"logpage": 190,
"revid": 1212,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-07-12T23:32:32Z",
"comment": "Created page with \"== MIT SMILES == MIT's SMILES (Simplified Molecular Input Line Entry System) is a string-based representation of chemical structures. === Project Ideas === ==== 1. Cheminformatics & Drug Discovery ==== * '''Molecular Property Predictor''' \u2013 Train a machine learning model to predict properties (e.g., solubility, toxicity) from SMILES strings. * '''Drug Similarity Search''' \u2013 Build a tool that finds structurally similar molecules from a database using SMILES-based fi...\""
},
{
"logid": 337,
"ns": 0,
"title": "Product/drone",
"pageid": 189,
"logpage": 189,
"revid": 1210,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-07-12T23:30:57Z",
"comment": "Created page with \"= Building a Drone Management System Using NASA Astrobee = == 1. Understand NASA Astrobee == '''Astrobee''' is a free-flying robot designed for the ISS, with open-source software for: * '''Autonomous navigation''' (SLAM, obstacle avoidance) * '''Robot control''' (GNC: Guidance, Navigation, and Control) * '''Mission planning''' (behavior trees, ROS-based) * '''Simulation''' (Gazebo integration) '''GitHub Repo''': [https://github.com/nasa/astrobee NASA Astrobee on GitHub...\""
},
{
"logid": 336,
"ns": 0,
"title": "Product",
"pageid": 188,
"logpage": 188,
"revid": 1207,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-07-12T23:16:55Z",
"comment": "Created page with \"Here's the MediaWiki syntax for your content: ```mediawiki == LeoLab Open-Source Tools == LeoLab offers a variety of open-source tools and libraries, primarily focused on data engineering, workflow orchestration, and machine learning operations (MLOps). Here are some things you can build using LeoLab's open-source projects (like Leopard, Orchest, and others): === 1. Data Pipelines & ETL Workflows === * Use Leopard (a lightweight alternative to Airflow) to build batch...\""
},
{
"logid": 335,
"ns": 0,
"title": "6KRPC IM",
"pageid": 187,
"logpage": 187,
"revid": 1200,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-06-06T04:48:00Z",
"comment": "Created page with \" = YOLOv8 with TensorFlow Lite for Android Image Detection = This guide explains how to implement YOLOv8 object detection in an Android application using TensorFlow Lite. == Prerequisites == * Android Studio (latest version) * Basic Android development knowledge * YOLOv8 model (`.pt` format) * Python environment for model conversion == Model Conversion == First convert the YOLOv8 PyTorch model to TensorFlow Lite format: <syntaxhighlight lang=\"python\"> from ultralyti...\""
},
{
"logid": 334,
"ns": 6,
"title": "File:Vmerror.png",
"pageid": 186,
"logpage": 186,
"revid": 1169,
"params": {},
"type": "create",
"action": "create",
"user": "Admin",
"timestamp": "2025-05-05T01:12:32Z",
"comment": ""
}
]
}
}