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#مقاله

عنوان:
Mobile applications for road traffic health and safety in the mirror of the Haddon’s matrix

مجله:
BMC Medical Informatics and Decision Making

DOI: 10.1186/s12911-021-01578-8

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عنوان:
Engineering applications of modern metaheuristics

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#دفاع

جلسه دفاع دکتری جناب آقای میثم عسگری

موضوع:
رویکرد جامع برای تحلیل موضوع موردنظر در داده جریانی شبکه اجتماعی توئیتر با استفاده از یادگیری عمیق و گراف حافظه

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(حضور برای عموم آزاد است.)

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#تبریک
#اطلاعیه

با عنایت به تصویب مجله "مهندسی کامپیوتر و فناوری اطلاعات" در کمیسیون سیاست‌گذاری پایش و ارتقا نشریات علمی دانشگاه تبریز و انتخاب بجا و شایسته جناب آقای دکتر پدرام صالحپور، استادیار گروه مهندسی کامپیوتر دانشگاه تبریز، به سمت مدیر مسئول مجله فوق، این انتخاب را به ایشان و گروه مهندسی کامپیوتر دانشگاه تبریز تبریک گفته و آرزوی سربلندی و روز افزون برای ایشان و مجله را از ایزد منان خواستاریم.

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#دفاع

جلسه دفاع دکتری سرکار خانم نرجس نیکزاد

موضوع:
ارائه سیستم پیشنهاد دهنده فرد خبره مبتنی بر راهکارهای یادگیری عمیق

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#فراخوان_مقاله

مجله:
Knowledge-Based Systems

عنوان:
Explainability of Machine Learning in Methodologies and Applications

موضوعات:
1. Theory, models, frameworks and tools of explainable machine learning
2. Explainable machine learning methods by implementation of fuzzy sets and systems
3. Explainable machine learning methods and algorithms by integrating rule-based learning, ontologies, Bayesian models and other related machine learning techniques
4. Explainable machine learning security, privacy and related systems
5. Explainable machine learning in robotics, healthcare and social science
6. Explainable machine learning for human machine interaction and collaboration
7. Explainable machine learning system with autonomous data-driven machine learning and automated reasoning
8. Explainable machine learning models for personalised support in human thinking, learning, designing, planning and decision-making.

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COVID-19 Fast Track submission option

مجله:
Applied Soft Computing

موضوعات:
Intelligent Modelling of Pandemics

Analysis of spreads and outbreaks

Intelligent Data Analysis Tools for Pandemics

Early Detection and Prediction Mechanisms

Optimization of Health Care Resources and Health Care Informatics

Intelligent multi sensing methods for automatic symptoms analysis

Intelligent Diagnosis and Prognosis Mechanisms

Intelligent Modes of Health Care Measures

Non-invasive Testing and Treatment Provisions

Intelligent Models for Social Distancing and Social Interaction

Contact-less Human Etiquette

Social influence analysis

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کانال اطلاع‌رسانی آزمایشگاه سپهر
A_multimodal_deep_learning_approach.pdf
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عنوان:
CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features

مجله:
Neural Computing and Applications

DOI: 10.1007/s00521-021-06488-4

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#فراخوان_مقاله

مجله:
Evolving Systems

عنوان:
Evolutionary Computation for Intelligent Industrial Applications

موضوعات:
• Data-driven evolutionary optimization algorithms for intelligent industrial applications
• Evolutionary programming for intelligent business strategies
• Effective ways of accelerating business outcomes with evolutionary algorithms
• Swarm intelligence and particle swam optimization for intelligent business optimization processes
• Quantum computing in next generation intelligent business applications
• Genetic algorithms and genetic programming
• Hybrid intelligent systems and evolutionary computation
• Novel-biologically inspired algorithms for intelligent business applications
• Evolutionary strategies for various intelligent applications such as healthcare, retail, manufacturing, etc.
• Evolutionary searches and metaheuristics
• Bioinspired hardware systems and software practices for intelligent industrial applications
• Evolutionary robotics and its real-world business applications
• Advanced evolutionary design paradigms for business applications
• Evolutionary multi-objective optimization

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#تبریک
#اطلاعیه

بدینوسیله انتخاب آقای دکتر محمدرضا فیضی درخشی، سرپرست آزمایشگاه سپهر به سمت سردبیری مجله "مهندسی کامپیوتر و فناوری اطلاعات" را تبریک عرض نموده و آرزوی موفقیت روز افزون برای ایشان و مجله را از ایزد منان خواستاریم.

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#کنفرانس

دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

مکان و مجری: دانشگاه علوم و فنون بابل و انجمن فناوری اطلاعات و ارتباطات ایران (به صورت مجازی برگزار خواهد شد.)

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#فراخوان_مقاله

مجله:
Multimedia Tools and Applications

عنوان:
Deep-Patterns Emotion Recognition in the Wild

موضوعات:
• Deep learning architectures and algorithms for affective computing
• Adversarial techniques in facial analysis for emotion recognition
• Emotion recognition in Healthcare, Social IoT, Ambient Intelligence
• Design and Analysis of Methods for Multimodal Emotion Recognition
• Feature extraction and analysis for Emotions from Face, Body gestures, Speech
• Ubiquitous Emotion Analytics using Advanced Deep learning features
• Development of Emotion Recognition for Personalization in user experience
• Ambient intelligence through Emotion Recognition for Business Organization
• Generative modelling using Deep Learning Approaches for Facial Expression

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Forwarded from کانال اطلاع‌رسانی آزمایشگاه سپهر (Ali Reza Feizi Derakhshi)
#فراخوان_مقاله

عنوان:
Engineering applications of modern metaheuristics

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#مقاله

عنوان:
COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images

مجله:
Complexity

DOI: 10.1155/2021/9973277

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#مقاله

عنوان:
FRAKE: Fusional Real-time Automatic Keyword Extraction

مجله: ArXiv

ArXiv: 2104.04830

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#فراخوان_مقاله

Pervasive Health: Social Media Analytics and Sensing for Healthcare and well-being

مجله:
Social Network Analysis and Mining

موضوعات:
• Personal health virtual assistant
• Early disease diagnosis and treatment prediction
• Clinical decision support in disease diagnosis and treatment
• Analysis and interpretation of radiology images
• Treatment Impact prediction
• Methods for the automatic detection and extraction of health-related concept
• Classifying and clustering of temporal health data in high dimensional spaces
• Application of deep learning methods to health data
• Novel architectures for scalable health data analysis and mining
• Community discovery and analysis
• Large-scale graph algorithms for social network analysis
• Spatio-temporal prediction of pandemics
• Methods for capturing outbreaks of infectious diseases
• Modeling the health status and well-being of individuals
• Models to predict the users’ moods from social posts
• Real-time syndromic surveillance and early detection of emerging disease
• Virus spread monitoring and modelization
• Drug adversial reaction
• Detect health-related topics of discussion and events
• Drug abuse and alcoholism incidence monitoring
• Methodologies and measures to understand patterns and trends for general public health research


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2025/07/08 00:22:56
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