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Archive for the ‘Conference and Workshop Events’ Category

Deep learning and its challenges

سلسله سخنرانی های مرکز نوآوری و توسعه هوش مصنوعی“یادگیری ژرف و چالشهای آن”سخنران: دکتر محمد تشنه لبزمان: دوشنبه 3 بهمن ماه از ساعت 10 الی 12مکان: سالن شهید اتابکی پژوهشگاه ارتباطات و فناوری اطلاعات https://stt.ictfaculty.irبا ارائه گواهی حضور از پژوهشگاهسخنرانی به صورت حضوری و مجازی است و می بایست در سامانه ثبت نام گردد.

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published on Saturday, January 21st, 2023 in Educational Activities Announcements, Events, News, Section Events

Soft and hard data fusion, intelligent decision making based on an artificial intelligence approach

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published on Tuesday, January 10th, 2023 in Educational Activities Announcements, Events, Section Events

IEEE Iran Section Progress Event

 لینک ثبت نام در کارگاه های مهارت افزایی پراگرس بخش ایران آیتریپل‌ای لینک ثبت نام نوع برگزاری ساعت تاریخ برگزاری ارائه دهنده نام رویداد ردیف https://www.ieee.org.ir/git  حضوری ساعت 14 1401/06/27 مهندس محمد یاسین داوده گیت برای کارهای روزانه 1 https://www.ieee.org.ir/git-cicd  حضوری ساعت 14 1401/06/28 مهندس علیرضا سلطانی نشان مقدمات CI/CD با گیت 2 https://www.ieee.org.ir/iot-car  آنلاین ساعت 14 1401/06/29 مهندس امید استاد رحیمی خودرو متصل و IoT 3 https://www.ieee.org.ir/interview  آنلاین ساعت 14 1401/06/30 مهندس امید استاد رحیمی چگونه یک مصاحبه خوب داشته باشیم ؟ 4 https://www.ieee.org.ir/ai  آنلاین ساعت ۱۶ 1401/07/11 دکتر احمدعلی آبین هوش مصنوعی: کاربردها و چالش ها با رویکرد […]

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published on Wednesday, September 7th, 2022 in Blog, Educational Activities Announcements, Events, Professional Activities Announcements, Student Activities Announcements, Student Branch Events

Electron Wave Packets Interacting with Optical Near-Fields: Shaping the Electrons with Plasmons and Probing Plasmons with Electrons Webinar

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published on Sunday, July 18th, 2021 in Chapters Announcements, Conference and Workshop Events, News

The Paradigm of Ensemble and Deep Neural Networks for Big Data and Analytics Webinar

Abstract: Big Data gained importance, as many organizations have been collecting massive amounts of domain-specific information, i.e., in cybersecurity, medicine, forecasting, etc. Analyzing and extracting the high-level complex information contained in the data belonging to these particular domains need more sophisticated algorithms. The new emerging DNN techniques and the evolutionary computing-based approaches, can work also with little knowledge of the domain and also handle massive amounts of data in an incremental way. In addition, the ensemble paradigm permits handling the problem of unbalanced classes, captures better non-linear correlation in the data, works well with changing data streams and are robust […]

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published on Thursday, July 8th, 2021 in Educational Activities Announcements, Events, News, Professional Activities Announcements, Section Events
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