Courses How to Build a Deep learning model to detect Ships

For anyone studying practical computer vision and deep learning deployment:

A frequent challenge in applied vision projects is balancing spatial accuracy against computational overhead during training. Selecting an architecture variant like YOLOv8l provides the parameter capacity necessary to resolve multi-scale objects in clustered environments, but success depends entirely on proper configuration and validation monitoring. This tutorial breaks down the mechanics of training a custom detector from scratch, detailing how loss convergence curves and validation checkpoints guide the selection of deployable weights.

The progression moves methodically from environment initialization to final model inference. It covers dataset re-indexing, parsing raw coordinate tags into standardized label files, executing supervised training runs while monitoring loss metrics, and implementing an OpenCV inference script to handle bounding box coordinates, class labels, and confidence thresholds on unseen imagery.

The Resources:

Reading on Medium.

Detailed written explanation and source code.

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Deep-dive video walkthrough.

This material is published solely for educational purposes. Feel free to leave constructive feedback or questions about threshold tuning and batch performance below.

#ComputerVision #ObjectDetection #PyTorch

GMM 2027 — Call for STAR reports (Discrete Geometry and Mathematical Morphology)

AISSA 2026: The IEEE co-sponsored International Conference on Artificial Intelligence Centric Systems, Services, and Applications, 8 – 10 December, 2026 | San Antonio, USA.

The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026)

 

https://emergingtechnet.org/AISSA2026/index.php

8 – 10 December, 2026 | San Antonio, USA.

Hybrid Event and Technically Co-Sponsored by IEEE Lone Star Section

AISSA 2026 CFP:

Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AISSA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AISSA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to:  

·       Machine Learning and Data-Driven Systems

·       Natural Language and Multimodal AI Systems

·       Generative AI, Foundation Models, and Large Language Models

·       Computer Vision, Image and Video Processing

·       Artificial Intelligence Systems Applications

·       Artificial Intelligence Systems Security

·       Computational Language and Human-Centered Systems

·       Prompt Engineering and Fine-tuning

·       Multimodal LLMs Systems

·       Agentic AI Systems

Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Length of short papers can be up to 6 pages. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the conference Proceeding, and to be submitted to IEEE Xplore for inclusion.

Important Dates:

  • Paper submission deadline: 15 October 2026 (Firm and Final)
  • Notification of acceptance: 1 November 2026
  • Camera-ready Submission: 15 November 2026

 

Contact:

 

Please send any inquiry on AISSA to: emergingtechnetwork@gmail.com

📢 Call for Workshop proposal CAiSE 2027 – 39th International Conference on Advanced Information Systems Engineering


We are pleased to announce that the Call for Workshop Proposals for CAiSE 2027 is now open!

CAiSE has a long tradition of hosting workshops in related fields. These workshops offer a great space for presenting innovative ideas with plenty of room for discussion. We especially welcome proposals on topics not already addressed by our two co-located working conferences, BPMDS and EMMSAD.

📅 Deadline for workshop proposals: 1 November 2026 AoE

We encourage you to reach out to the workshop chairs before submitting a proposal. For questions about eligibility or anything related to the proposals, please contact the workshop chairs at:

caise2027-workshops@easychair.org 

For detailed information, please visit the call in the official website:

https://caise2027seville.org/calls/workshops/

We look forward to receiving your proposals and to welcoming you to Seville!

CfP IEEE SBiND – ICASSP 2027

Dear colleagues,

We are pleased to invite you to submit your research contributions to SBiND 2027, the ICASSP 2027 Satellite Workshop on Speech Biomarkers for Neurodegenerative Diseases: Signal Processing, Artificial Intelligence, and Clinical Translation.

SBiND 2027 will take place on May 17, 2027, in Toronto, Canada, in conjunction with the 2027 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2027).

We warmly welcome contributions from researchers, clinicians, engineers, and practitioners working at the intersection of speech and signal processing, artificial intelligence, neurology, clinical neuroscience, biomedical engineering, and digital health.

We look forward to welcoming you to Toronto!

Kind regards,
The SBiND 2027 Organizing Committee

===============================================================
SBiND 2027
Speech Biomarkers for Neurodegenerative Diseases: Signal Processing, Artificial Intelligence, and Clinical Translation
May 17, 2027 – Toronto, Canada
https://www.sbind.icar.cnr.it/

Satellite Workshop of the 2027 IEEE International Conference on Acoustics, Speech, and Signal Processing – ICASSP 2027

Submit your paper: https://cmsworkshops.com/ICASSP2027/papers/submission.asp?ID=7&Type=WS
===============================================================

MISSION:
Neurodegenerative diseases such as Amyotrophic Lateral Sclerosis, Parkinson’s disease, and Alzheimer’s disease progressively affect speech production through changes in motor control, cognition, language, and respiratory function. Speech and voice therefore represent promising non-invasive and easily accessible biomarkers for supporting disease assessment, monitoring progression, and evaluating treatment response.
SBiND 2027 aims to bring together researchers, clinicians, engineers, and industry professionals working on speech and voice biomarkers for neurodegenerative diseases. The workshop will promote interdisciplinary discussion on the development of reliable signal-processing and artificial-intelligence methods and their translation into clinically meaningful and deployable solutions.
Building on previous research and challenge-based initiatives in this field, SBiND will address the methodological, clinical, and technological barriers that currently limit the generalizability, interpretability, reproducibility, and real-world adoption of speech-based biomarkers.

TOPICS:
Topics of interest include, but are not limited to:
• Speech and voice biomarkers for neurodegenerative diseases
• Speech signal processing for neurological assessment and monitoring
• Acoustic, phonetic, prosodic, linguistic, and conversational biomarkers
• Artificial intelligence and machine learning for speech-based assessment
• Deep learning, self-supervised learning, and foundation models
• Automatic detection, classification, and differential diagnosis
• Longitudinal modelling and disease-progression prediction
• Multilingual, cross-lingual, and cross-corpus generalization
• Domain adaptation and robust learning across recording conditions
• Explainable and clinically interpretable artificial intelligence
• Multimodal integration of speech, language, clinical, imaging, and sensor data
• Digital phenotyping and remote patient monitoring
• Mobile, wearable, and telemedicine solutions for speech assessment
• Data quality, annotation protocols, and dataset harmonization
• Privacy-preserving learning and secure health-data processing
• Federated learning for distributed clinical data
• Bias, fairness, ethics, and responsible AI in clinical applications
• Reproducibility, benchmarking, and open science
• Clinical validation and real-world deployment
• Human-centred technologies and clinician–AI collaboration
• Regulatory and translational challenges for speech-based digital biomarkers

IMPORTANT DATES:
• Paper submission deadline: November 11, 2026
• Notification of paper acceptance: December 16, 2026
• Camera-ready paper submission: January 6, 2027
• Workshop date: May 17, 2027

PAPER SUBMISSION:
Authors are invited to submit original research contributions addressing the workshop topics.
Submitted papers must follow the ICASSP 2027 paper style, formatting, and length requirements. Papers may contain a maximum of four pages of technical content, including figures and references, with an optional fifth page containing references only.
Papers must be submitted through the official ICASSP 2027 Satellite Workshop submission system:
https://cmsworkshops.com/ICASSP2027/papers/submission.asp?ID=7&Type=WS
All submissions will undergo a rigorous peer-review process managed independently by the SBiND 2027 Technical Program Committee.
Accepted and presented papers will be published in the IEEE Xplore Digital Library under a separate ICASSP 2027 Satellite Workshop record number.
At least one author of each accepted paper must register for the workshop and present the paper in person. Papers that are not presented in accordance with the conference policies will be withdrawn from the official proceedings.

BEST PAPER AWARD:
A Best Paper Award certificate will be presented to the author or authors of an outstanding paper presented at SBiND 2027. The winning contribution will be selected by the Workshop Chairs based on scientific significance, originality, methodological quality, clinical relevance, and the evaluations of the Technical Program Committee.

CONTACT:
For further information, please visit: https://www.sbind.icar.cnr.it/
For questions, please contact: sbind@icar.cnr.it

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