IJCNN 2025: Call for Tutorial Proposals and Workshop Proposals!

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Call for Tutorial &
Workshop Proposals

Submission Deadline: 15 December 2024
15 November 2024: Special Session & Competition Proposals
15 December 2024: Tutorial & Workshop Proposals
15 January 2025: Regular Paper Submission
17 March 2025: Paper Acceptance Notification
1 May 2025: Final Camera Ready Paper
IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Whether you are presenting your latest work, learning from experts, or networking with peers, IJCNN 2025 promises to be an unforgettable experience that will inspire and propel the AI and neural network community forward. We look forward to welcoming you in Rome!

IJCNN 2025 will feature pre-conference tutorials, covering fundamental and advanced topics in AI and neural networks.

Visit Conference Website
Topics of Interest
Papers for IJCNN 2025 will be reviewed by experts in the fields and ranked based on the criteria of originality, significance, quality, and clarity. Prospective authors are invited to submit complete papers of no more than eight (8) pages in IEEE two-column conference proceedings format. Authors should submit their papers in PDF through the online submission system, which will be available at https://2025.ijcnn.org/.
Topics of interest include but are not limited to:
  • AI for Critical Infrastructures
  • AI for Education
  • AI for Neural Engineering
  • Brain-machine Interfaces
  • Cognitive Models
  • Collective & Ensemble Intelligence
  • Computational Neuroscience
  • Dynamic Neural Networks
  • Efficient and Tiny Neural Networks
  • Ethics and Regulation in AI
  • Generative AI Models
  • Graph Neural Networks
  • Interpretable and Explainable AI
  • Large Language Models
  • Large-Scale Neural Networks
  • Mixture of Experts
  • Modular Neural Networks
  • Neural Engineering
  • Neural Network Applications
  • Neural Networks for Sciences
  • Neuromorphic Systems
  • Neurosymbolic AI
  • Perceptual Neural Networks
  • Quantum Neural Networks
  • Reinforcement Learning
  • Representation & Reasoning
  • Reservoir & Echo-State Networks
  • Spiking Neural Networks
  • Theory of Neural Networks
  • Transformer Networks
  • Trustworthy and Reliable AI
  • Unsupervised Learning
Visit Conference Website
Conference Sponsor

Taller virtual de Internet de las Cosas

 

ÚLTIMOS DÍAS DE INSCRIPCIÓN!!! 

Taller Virtual de Internet de las Cosas
Esp. TS. Ciro Edgardo Romero

2, 9, 16, 30 de octubre, 6, 20, 27 de noviembre y 4 de diciembre de 2024 de 18:00 a 21:00 hs
en forma VIRTUAL por la plataforma zoom
 

 

Abstract: El Internet de las cosas, o por sus siglas en inglés IoT, describe aquellos dispositivos cotidianos conectados a través de internet. Aunque esto implica una amplia variedad de situaciones, las cuales dependen de que es considerado “cotidiano”, existen especificaciones que sitúan a los dispositivos en un contexto específico para implementar estás innovaciones.  En el siguiente curso, se intentan abordar aquellas temáticas y tecnologías propias del IoT, aplicados para la industria de la automatización y control. Se explicarán los conceptos teóricos y se realizarán las prácticas que impliquen el desarrollo de aplicaciones ciber físicas.
 

Fundamentación: El proceso actual de transformación tecnológica, conocido como Industria 4.0, se caracteriza por una fusión de tecnologías que están desintegrando las fronteras entre el mundo físico, el mundo digital y hasta la biología. En este contexto, aparece el concepto de Internet de las cosas, para describir aquellos dispositivos cotidianos a través de internet. Aunque este último concepto implica una amplia variedad de situaciones, las cuales dependen de que es considerado “cotidiano” para cada caso. En el siguiente curso, se intentan abordar aquellas temáticas y tecnologías propias de la industria de la automatización y control. Estos representarán el contexto cotidiano en donde se explicarán los conceptos teóricos y se realizarán las prácticas.
 

Objetivo General: Comprender cómo trabaja un sistema IoT punta a punta, las tecnologías de  comunicación remota disponibles y cada una de las capas de aplicación involucradas. Diseñar y construir sistemas de embebidos orientados a un sistema descentralizado. Trabajar con toda clase de sensores en ambientes reales. Implementar dispositivos de acción, visualización y control como servomotores, motores paso a paso, sensores analógicos y digitales, pantallas LCD, teclados, y más. Tener las herramientas necesarias para toma de decisiones, gerenciar y tener un buen criterio del negocio con IoT como herramientas fundamentales.
 

Objetivos específicos: Aprender a identificar, seleccionar y programar chips de la familia ESP8266 y ESP32
Desarrollo de sistemas embebidos con conexión a WiFi
Operar soluciones de comunicación remota (quitamos GSM)
Desarrollar sistemas del tipo Cliente/Servidor en una placa de desarrollo
Uso de protocolos HTTP y MQTT
Integración de placas de desarrollos con aplicaciones web

 

Perfil del destinatario: El curso está orientado a ingenieros y licenciados en sistemas, programadores, analistas, técnicos de infraestructura digital y público en general, que desee introducirse en el desarrollo de sistemas compatibles con los descritos como de Internet de las Cosas.
Los estudiantes desarrollarán las habilidades interdisciplinarias necesarias para modelar una solución de Internet of Things para diferentes aplicaciones, tales como: mediciones de variables con o sin alarma, lazo de control digital o analógico con accionamiento digital, lazo cerrado simple de control continuo y otros de un tenor similar. Se le brindarán los conocimientos técnicos y metodológicos para desarrollar criterios de selección e implementación de sistemas ciber-físicos. Orientar a los participantes para desarrollar un enfoque crítico en consideraciones de seguridad para las tecnologías emergentes

 

Condiciones de admisión: Mínimos: Uso avanzado de PC. Facilidad para navegar por Internet. Lectura básica de textos técnicos en inglés. Conocimientos básicos de programación (Excluyente).
Técnicos: Es deseable el conocimiento de programación y lenguajes de consulta a base de datos (Deseable). Conocimientos básicos de arquitectura de software (Deseable)

 

La obtención de placas de desarrollo, sensores, actuadores, así como elementos de prototipado electrónico, quedan bajo la responsabilidad de los participantes

Temario:

 

Título Teoría
Módulo 1 Introducción Conceptos básicos. Armado de entorno para la grabación de placas. Primeros pasos
Módulo 2 Proyectos básicos

Ejecución típica del procesador. Opciones de programación. Pines de entrada y salida.
Configuración digital y analógica. Uso de PWM.

Módulo 3 Comunicación Uso de puerto UART. Uso de puerto I2C. Uso de puerto SPI
Módulo 4 Comunicación inalámbrica Uso de Bluetooth. Conexión WIFI. Modos de funcionamiento STA y AP. Comunicación HTTP
Módulo 5 Cliente-Servidor Websocket. Comunicación sincrónica y asincrónica. Arquitectura API REST. Aplicaciones Web
Módulo 6
Módulo 7 Proyectos avanzados Control de flujo. Modularización de programas. Comunicación MQTT
Módulo 8

 

Se puede abonar con tarjeta por MERCADO PAGO  o por TRANSFERENCIA BANCARIA


Esp. TS. Ciro Edgardo Romero: 
Especialista en Internet de las cosas y Técnico en Automatización y Robótica. Trabaja en el rubro informático como líder de Investigación y desarrollo de nuevas tecnologías. Experiencia que abarca internet de las cosas, blockchain e inteligencia artificial. También es docente y difusor tecnológico.


 

Consultas a cursos@aadeca.org o por whatsapp 011 3201-2325   

Two month online self-paced training on Generative AI for data science

Dear Community/Scientists/Professors/Researchers,

Greetings of the day!!

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More info: https://internships.utkarshminds.com/courses/Python-Statistics-Data-analysis-and-Generative-AI-Combination-66c9b728d5db276fc548a735

Fees: $8 (EUR 7.75)

Why Should You Enroll?
  • Comprehensive Curriculum: Learn practical and theoretical aspects of Python
  • Expert Guidance: Get trained by professionals with extensive experience in the field.
  • Affordable Fees: Gain valuable skills 
  • Career Advancement: Enhance your resume and improve your job prospects.

Contact Details: Pranav Nerurkar

Email: pranav.nerurkar@utkarshminds.com
Phone: +919619997797

Key Features:

  1. Interactive Video Lectures:

    • Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures.
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    • Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R.
    • Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results.
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  3. Practical Applications:

    • Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more.
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pranav.nerurkaramandine.deplantes@igonogo.io” style=”color:rgb(17,85,204)” target=”_blank”>@utkarshminds.com

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IEEE BIBM 2024 WORKSHOP Care 2024: Integrating Symbiotic AI in Biomedical Informatics – Lisbon, Portugal, 3 – 6 December 2024

IEEE BIBM 2024 WORKSHOP
SAI-Care 2024: Integrating Symbiotic AI in Biomedical Informatics
A Workshop on Advanced SAI-based applications in Healthcare
Lisbon, Portugal, 3 – 6 December 2024

Website: https://caislab.di.unisa.it/sai-care-2024/

Workshop Overview
The integration of artificial intelligence (AI) into the biomedical field represents a groundbreaking frontier in both research and practical application of medicine. With the exponential growth of biomedical data, AI has emerged as a crucial tool for analyzing vast amounts of information, uncovering complex hidden patterns, and supporting critical clinical decisions. In the context, Symbiotic AI (SAI) explores the synergistic relationship between artificial intelligence systems and human users, aiming to enhance collaboration and coexistence between the two entities. This symbiotic relationship empowers healthcare professionals with advanced analytical capabilities, enabling them to make more accurate diagnoses, personalize treatment plans, and optimize patient care pathways.

Call for Paper
The workshop aims to explore the synergy between SAI and biomedical informatics, emphasizing the integration of AI technologies into reliable and Symbiotic Computer-Aided Diagnosis (SCAD) systems. Topics include advanced AI-based applications in healthcare, with a particular focus on explainable AI models to ensure transparency and reliability in medical decision-making processes. Participants will explore how SCAD systems symbiotically enhance diagnostic accuracy, treatment planning, and patient care pathways within the biomedical informatics landscape.

Potential topics for the workshop could include but non are limited to:
AI-driven diagnostic tools in healthcare
Applications of AI models in personalized medicine
eXplainable in the use of AI in biomedical informatics
Implementing AI algorithms for medical imaging analysis
Natural language processing in healthcare informatics
Predictive analytics for disease prevention and early detection
AI-powered drug discovery and development
Challenges and opportunities in integrating AI into clinical workflows
Design of symbiotic AI systems for healthcare
The role of AI in improving healthcare delivery and patient outcomes

Important Dates
Oct 10, 2024: Due date for full workshop papers submission
Nov 5, 2024: Notification of paper acceptance to authors
Nov. 21, 2024: Camera-ready of accepted papers
Dec 3-6, 2024: Workshops

D S P 2 0 2 5 – 25th Int. Conf. on Digital Signal Processing – Costa Navarino, Greece – Call for Papers

=================================================================================
D S P 2 0 2 5

25th International Conference on Digital Signal Processing

25-27 June 2025, Costa Navarino, Messinia, Greece

https://2025.ic-dsp.org/

Theme: “Deepfake Signals, Images and Videos”.

=================================================================================

IMPORTANT DATES

•    Submission of full papers – Feb 25, 2025
•    Notification of acceptance – Apr 10, 2025
•    Author advance registration – Apr 25, 2025
•    Camera-ready paper submission – May 5, 2025

=================================================================================

The 25th International Conference on Digital Signal Processing (DSP
2025), technically co-sponsored by IEEE(*) Signal Processing Society and
EURASIP(*), will be held June 25-27, 2025 in Costa Navarino, Messinia in
southwest Peloponnese, Greece. It is the longest in existence Conference
in the area of DSP and belongs to a series of events that commenced from
London in 1967 and continued to Florence, Nicosia, Limassol, Santorini,
Cardiff, Corfu, Hong-Kong, Singapore, Beijing, Shanghai and Rhodes in
2023. It will bring together leading experts from academia and industry
to share the most recent and exciting advances in the general area of
digital signal processing and analysis.
(*) technical co-sponsorship in progress

DSP 2025 addresses the theory and applications of filtering, coding,
transmitting, estimating, detecting, analysing, recognising,
synthesising, recording, and reproducing signals by means of digital
devices or techniques. The term “signal” includes audio, video, speech,
image, communication, geophysical, sonar, radar, medical, musical, and
any other type of signal. This includes primarily those areas listed
under all EDICS categories of the IEEE Transactions on Signal
Processing, IEEE Transactions on Image Processing. IEEE Transactions on
Medical Imaging, IEEE Journal of Selected Topics in Signal Processing,
IEEE Open Journal of Signal Processing, IEEE Transactions on Multimedia
and IEEE Transactions on Information Forensics and Security.

The program will include presentations on novel research theories /
applications / results in lecture, poster and plenary sessions. Special
Sessions organised by internationally recognised experts in the area
constitute the basis of DSP conferences.

Topics of interest include, but are not limited to:

Artificial Intelligence and Machine Learning in Signal Processing
• Application of AI and ML techniques for signal processing
• Advances in deep learning models for image and video analysis
• Explainable AI in signal and image processing

Biomedical Signal Processing
• Biomedical Signal and Image Processing
• Brain-Computer Interface
• Genomic Signal Processing
• Signal Processing in Genomics and Proteomics

Digital and Multirate Signal Processing
• Adaptive Signal Processing
• Digital and Multirate Signal Processing
• Digital Filter Design and Implementation
• Multidimensional Filters and Transforms
• Multiresolution Signal Processing
• Multiway Signal Processing
• Theory and Applications of Transforms
• Time-Frequency Analysis and Representation
• Statistical Signal Processing

Emerging Technologies in Signal Processing
• Quantum signal processing
• Neuromorphic computing
• Signal processing in AR/VR applications

Human-Computer Interaction
• Gesture and facial expression recognition
• Signal processing for augmented and virtual reality
• Multimodal interfaces combining audio, visual, and haptic signals

Sensor Array and Multichannel Processing
• Array Signal Processing
• Signal Processing for Smart Sensors and Systems
• Compressive Sensing

Signal Processing for Communications
• Geophysical/Radar/Sonar Signal Processing
• MIMO Signal Processing

Signal Processing for Audio/Image/Video
• Audio/Speech/Music Processing & Coding
• Digital Photography
• HDR Imaging
• Image and Multidimensional Signal Processing
• Image/Video Indexing, Search and Retrieval
• Image/Video Compression and Coding Standards
• Image/Video Content Analysis
• Image/Video Processing Techniques
• 3D Image Processing and Applications
• Mobile Imaging and Image Quality
• Real-Time Signal/Image/Video Processing
• Video Surveillance and Transportation Imaging
• Digital Watermarking and Data Hiding

Other Areas and Applications
• Big Data
• Cognitive Signal Processing
• DSP Education
• Nonlinear Signals and Systems
• Information Forensics and Security
• Social Signal Processing & Affective Computing
• Signal and System Modelling
• Signal Processing of Financial Data
• VLSI Architectures and Implementations for DSP

=================================================================================

The language of the Conference is English. Prospective authors are
invited to submit full-length papers (up to 4 pages for technical
content including figures, tables, references and one optional 5th page
containing references only). IEEE templates for the paper format, and
“no show” policy do apply. Authors should indicate one or more of the
above listed categories that best describe the topic of the paper, as
well as their preference (if any) regarding lecture or poster
presentation. Lecture and poster sessions are treated equally in terms
of the review process. Submitted papers will be reviewed by a minimum of
two independent reviewers using a single-blind peer review process,
where the identities of the reviewers are not known to the authors, but
the reviewers know the identities of the authors. Accepted papers will
be submitted for inclusion into IEEE Xplore subject to meeting IEEE
Xplore’s scope and quality requirements. In addition to the technical
program, a social program will be offered to the participants and their
companions. It will provide an opportunity to meet colleagues and
friends against a backdrop of outstanding natural beauty and rich
cultural heritage in one of the best-known international destinations.

=================================================================================

ORGANISING COMMITTEE

Honorary Chair
Anthony G. Constantinides, UK

General Chair
Athanassios N. Skodras, GR

General Co-Chair
Fredric J. Harris, US

Constantinides Track Chair
Saeid Sanei, UK

Technical Program Chairs
Elias Aboutanios, AU
Irene Amerini, IT
Luis Alberto da Silva Cruz, PT

Plenary Sessions Chair
Enkelejda Kasneci, DE

Special Sessions Chairs
Maria Martini, UK
Adrian Munteanu, BE

Publicity Chair
Eva Gil San Antonio, FR

Publications Chair
Vassilis Fotopoulos, GR

Industrial Liaisons
Ioannis Katsavounidis, US
George A. Lampropoulos, CA
Mahsa Pourazad, CA
Andrea De Polo Saibanti, IT

Int. Program Committee
Mauro Barni, IT
Jan Cornelis, BE
Marek Domanski, PL
Tariq S. Durrani, UK
Touradj Ebrahimi, CH
George B. Giannakis, US
Gjergji Kasneci, DE
Aggelos K. Katsaggelos, US
Kin K. Leung, UK
Patrick Naylor, UK
Konstantinos N. Plataniotis, CA
Wan-Chi Siu, HK
Tieniu Tan, CN
Andreas Uhl, AT
Abdelhak M. Zoubir, DE

=================================================================================

IMPORTANT DATES

•    Submission of full papers – Feb 25, 2025
•    Notification of acceptance – Apr 10, 2025
•    Author advance registration – Apr 25, 2025
•    Camera-ready paper submission – May 5, 2025

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PS: Feel free to distribute this Call for Papers !!!

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