#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
@cominsys_channel
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
@cominsys_channel
کانال اطلاعرسانی آزمایشگاه سپهر
#مقاله عنوان: Heat transfer relation-based optimization algorithm (HTOA) مجله: Soft Computing DOI: 10.1007/s00500-021-05734-0 @cominsys_channel
#پیادهسازی
کدهای مقاله "Heat transfer relation-based optimization algorithm در صفحه GitHub آزمایشگاه سپهر درج شده است.
لینک GitHub
@cominsys_channel
کدهای مقاله "Heat transfer relation-based optimization algorithm در صفحه GitHub آزمایشگاه سپهر درج شده است.
لینک GitHub
@cominsys_channel
GitHub
GitHub - cominsys/HTOA: Matlab Codes (Implementations) of Heat transfer relation-based optimization algorithm (HTOA)
Matlab Codes (Implementations) of Heat transfer relation-based optimization algorithm (HTOA) - cominsys/HTOA
#فراخوان_مقاله
عنوان:
Engineering applications of modern metaheuristics
لینک ارسال مقاله
@cominsys_channel
عنوان:
Engineering applications of modern metaheuristics
لینک ارسال مقاله
@cominsys_channel
#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
لینک جلسه
(حضور برای عموم آزاد است.)
@cominsys_channel
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
لینک جلسه
(حضور برای عموم آزاد است.)
@cominsys_channel
#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.
@cominsys_channel
#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.
@cominsys_channel
#دفاع
جلسه دفاع دکتری سرکار خانم نرجس نیکزاد
موضوع:
ارائه سیستم پیشنهاد دهنده فرد خبره مبتنی بر راهکارهای یادگیری عمیق
لینک جلسه
(حضور برای عموم آزاد است.)
@cominsys_channel
جلسه دفاع دکتری سرکار خانم نرجس نیکزاد
موضوع:
ارائه سیستم پیشنهاد دهنده فرد خبره مبتنی بر راهکارهای یادگیری عمیق
لینک جلسه
(حضور برای عموم آزاد است.)
@cominsys_channel
#مقاله
عنوان:
Battle royale optimizer for training multi-layer perceptron
مجله:
Evolving Systems
DOI: 10.1007/s12530-021-09401-5
@cominsys_channel
عنوان:
Battle royale optimizer for training multi-layer perceptron
مجله:
Evolving Systems
DOI: 10.1007/s12530-021-09401-5
@cominsys_channel
Evolving Systems
Battle royale optimizer for training...
Evolving Systems - Artificial neural network (ANN) is one of the most successful tools in machine learning. The success of ANN mostly depends on its architecture and learning procedure. Multi-layer...
کانال اطلاعرسانی آزمایشگاه سپهر
#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 @cominsys_channel
Mobile applications for road trafc health.pdf
2.9 MB
#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
@cominsys_channel
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
@cominsys_channel
#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.
لینک فراخوان
لینک مجله
@cominsys_channel
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.
لینک فراخوان
لینک مجله
@cominsys_channel
Elsevier
Explainability of Machine Learning in Methodologies and Applications - Call for papers - Knowledge-Based Systems - Journal - Elsevier
Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence…
#فراخوان_مقاله
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
لینک مجله
@cominsys_channel
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
لینک مجله
@cominsys_channel
کانال اطلاعرسانی آزمایشگاه سپهر
A_multimodal_deep_learning_approach.pdf
#مقاله
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
@cominsys_channel
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
@cominsys_channel
#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
لینک فراخوان
لینک مجله
@cominsys_channel
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
لینک فراخوان
لینک مجله
@cominsys_channel
Springer
Evolving Systems
#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.
@cominsys_channel
#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.
@cominsys_channel
#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.)
لینک کنفرانس
@cominsys_channel
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.)
لینک کنفرانس
@cominsys_channel
#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
لینک فراخوان
لینک مجله
@cominsys_channel
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
لینک فراخوان
لینک مجله
@cominsys_channel
Springer
Multimedia Tools and Applications
Forwarded from کانال اطلاعرسانی آزمایشگاه سپهر (Ali Reza Feizi Derakhshi)
#فراخوان_مقاله
عنوان:
Engineering applications of modern metaheuristics
لینک ارسال مقاله
@cominsys_channel
عنوان:
Engineering applications of modern metaheuristics
لینک ارسال مقاله
@cominsys_channel
کانال اطلاعرسانی آزمایشگاه سپهر
#مقاله عنوان: A review of approaches for topic detection in Twitter مجله: Journal of Experimental & Theoretical Artificial Intelligence DOI: 10.1080/0952813X.2020.1785019 @cominsys_channel
#مقاله
عنوان:
A review of approaches for topic detection in Twitter
مجله:
Journal of Experimental & Theoretical Artificial Intelligence
DOI: 10.1080/0952813X.2020.1785019
لینک دسترسی رایگان به مقاله (به تعداد محدود)
@cominsys_channel
عنوان:
A review of approaches for topic detection in Twitter
مجله:
Journal of Experimental & Theoretical Artificial Intelligence
DOI: 10.1080/0952813X.2020.1785019
لینک دسترسی رایگان به مقاله (به تعداد محدود)
@cominsys_channel
#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
@cominsys_channel
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
@cominsys_channel
#مقاله
عنوان:
FRAKE: Fusional Real-time Automatic Keyword Extraction
مجله: ArXiv
ArXiv: 2104.04830
@cominsys_channel
عنوان:
FRAKE: Fusional Real-time Automatic Keyword Extraction
مجله: ArXiv
ArXiv: 2104.04830
@cominsys_channel
#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
لینک فراخوان
لینک مجله
@cominsys_channel
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
لینک فراخوان
لینک مجله
@cominsys_channel
Springer
Social Network Analysis and Mining