Forwarded from Papers
با عرض سلام مقاله زیر در مرحله ی اولیه ارسال می باشد. نفرات 2و ۳ خالی می باشد. دوستانی که نیاز دارند می تونن به ایدی بنده پیام بدن. همچنین امکان ریکامدادن بعد اتمام کار وجود داره.
💠 💠
Title:
Automated Concrete Crack Detection and Geometry Measurement Using YOLOv8
Description:
This paper presents a comprehensive approach for automatic detection and quantification of concrete cracks using the YOLOv8 deep learning model. By leveraging advanced object detection capabilities, our system identifies concrete cracks in real-time with high accuracy, addressing challenges of complex backgrounds and varying crack patterns. Following crack detection, we employ image processing techniques to measure key geometric parameters such as width, length, and area. This integrated system enables rapid, precise analysis of structural integrity, offering a scalable solution for infrastructure monitoring and maintenance.
🔸 Target Journal:
Nature, Scientific Reports
@Raminmousa
@Machine_learn
https://www.tg-me.com/+SP9l58Ta_zZmYmY0
Title:
Automated Concrete Crack Detection and Geometry Measurement Using YOLOv8
Description:
This paper presents a comprehensive approach for automatic detection and quantification of concrete cracks using the YOLOv8 deep learning model. By leveraging advanced object detection capabilities, our system identifies concrete cracks in real-time with high accuracy, addressing challenges of complex backgrounds and varying crack patterns. Following crack detection, we employ image processing techniques to measure key geometric parameters such as width, length, and area. This integrated system enables rapid, precise analysis of structural integrity, offering a scalable solution for infrastructure monitoring and maintenance.
Nature, Scientific Reports
@Raminmousa
@Machine_learn
https://www.tg-me.com/+SP9l58Ta_zZmYmY0
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Papers
در اين كانال قرار مقالاتي كه كار ميكنيم رو به اشتراك بزاريم.
@Raminmousa
@Raminmousa
👍3
Foundations Of The Theory Of Probability by
Andrey Nikolaevich Kolmogorov
🔥🔥🔥
Read the book
@Machine_learn
Andrey Nikolaevich Kolmogorov
🔥🔥🔥
Read the book
@Machine_learn
❤7
📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches
📎 Study paper
🔺 @Machine_learn
📎 Study paper
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❤4
The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 game
🖥 Github: https://github.com/farama-foundation/arcade-learning-environment
📕 Paper: https://arxiv.org/abs/2410.23810v1
⚡️ Dataset: https://paperswithcode.com/dataset/mujoco
@Machine_learn
⚡️ Dataset: https://paperswithcode.com/dataset/mujoco
@Machine_learn
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DeepArUco++: improved detection of square fiducial markers in challenging lighting conditions
🖥 Github: https://github.com/avauco/deeparuco
📕 Paper: https://arxiv.org/pdf/2411.05552v1.pdf
⚡️ Dataset: https://paperswithcode.com/dataset/coco
@Machine_learn
⚡️ Dataset: https://paperswithcode.com/dataset/coco
@Machine_learn
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Deep Learning and Computational Physics - Lecture Notes, University of South California
📓 book
@Machine_learn
📓 book
@Machine_learn
👍2
Collection of resources in the form of eBooks related to Data Science, Machine Learning, and similar topics
📖 Github
@Machine_learn
📖 Github
@Machine_learn
👍2
Nexusflow released Athene v2 72B - competetive with GPT4o & Llama 3.1 405B Chat, Code and Math 🔥
> Arena Hard: GPT4o (84.9) vs Athene v2 (77.9) vs L3.1 405B (69.3)
> Bigcode-Bench Hard: GPT4o (30.8) vs Athene v2 (31.4) vs L3.1 405B (26.4)
> MATH: GPT4o (76.6) vs Athene v2 (83) vs L3.1 405B (73.8)
> Models on the Hub along and work out of the box w/ Transformers 🤗
https://huggingface.co/Nexusflow/Athene-V2-Chat
They also release an Agent model: https://huggingface.co/Nexusflow/Athene-V2-Agent
@Machine_learn
> Arena Hard: GPT4o (84.9) vs Athene v2 (77.9) vs L3.1 405B (69.3)
> Bigcode-Bench Hard: GPT4o (30.8) vs Athene v2 (31.4) vs L3.1 405B (26.4)
> MATH: GPT4o (76.6) vs Athene v2 (83) vs L3.1 405B (73.8)
> Models on the Hub along and work out of the box w/ Transformers 🤗
https://huggingface.co/Nexusflow/Athene-V2-Chat
They also release an Agent model: https://huggingface.co/Nexusflow/Athene-V2-Agent
@Machine_learn
👍1