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Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi 👉 Belgini ko‘rmoqchi bo‘lsangiz, obuna bo‘ling

BME DOC📚

BME DOC📚

Kanalga Telegram’da o‘tish

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📈 Telegram kanali BME DOC📚 analitikasi

BME DOC📚 (@bme_doc) Forsiy til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 194 obunachidan iborat bo'lib, Taʼlim toifasida 19 697-o'rinni va Eron mintaqasida 32 160-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 10 194 obunachiga ega bo‘ldi.

09 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 27 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 26.81% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 8.88% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 733 marta ko‘riladi; birinchi sutkada odatda 905 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent مهندسی, امیرکبیر, دانشکده, تحصیل, ریاضی kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی @BMEDOC_ADMIN Support Our Mission 🤝🏻 Donate: www.coffeete.ir/BMEDOC”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 10 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

10 194
Obunachilar
+924 soatlar
+17 kun
+2730 kun
Postlar arxiv
جلسه یازدهم پردازش آماری سیگنال‌ها (SSP) ، مردادماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه دهم پردازش آماری سیگنال‌ها (SSP) ، مردادماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه نهم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه هشتم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه هفتم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه ششم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه پنجم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه چهارم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه سوّم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه دوّم پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

جلسه اوّل پردازش آماری سیگنال‌ها (SSP) ، تیرماه ۱۴۰۰ #پردازش‌آماری‌سیگنال‌ها

• ویدیو های کورس "اصول پردازش آماری سیگنال‌ها (SSP)" از پروفسور حمیدرضا امین داور؛ استاد تمامِ دپارتمانِ شاخهٔ مخابرات، دانشکدهٔ مهندسی برق دانشگاه صنعتی امیرکبیر تهران 👇👇👇

An intro to Wavelet transformation خوب یاد بگیرید. خواستید درسش رو با دکتر امین داور بردارید. (پردازش سیگنال پیشرفته)

Dear Network, I am thrilled to announce that our research group has multiple PhD openings for the Fall 2024 semester. If you know aspiring researchers passionate about machine learning with strong mathematical and analytical skills, please spread the word! For those interested in pursuing a PhD and being part of cutting-edge research, feel free to reach out to me for more information or visit https://mmamiri.github.io/. Thank you for helping us connect with talented individuals! #PhDOpportunities #MachineLearning #Fall2024

We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning. As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies. Requirements: - A strong background in power systems, optimization, and machine learning - A Master's degree in Electrical Engineering or a related field is preferred - Excellent problem-solving skills and the ability to work independently and as part of a team - Strong communication skills, both written and verbal -Experience with relevant software tools and programming languages is a plus To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023: -Your CV/Resume -A letter of interest and qualifications -All Transcripts (unofficial copies are acceptable) -Standard test records (e.g., GRE (optional), TOEFL, etc.) -Any publication or sample writing (if available)

+3
مدلسازی فیزیکی در متلب

https://intra.engr.ucr.edu/~enozari/ دکتر عرفان نوذری I have multiple Ph.D. openings for Fall 2024! The topic of research will be at the intersection of computational neuroscience, dynamical systems, and machine learning. The set of tools that we use ranges from rigorous mathematical analysis to engineering and statistical methods. The overall goal is to make high impact contributions to the identification, analysis, and/or control of brain network dynamics. A decent mathematical background and interest in neuroscience is required. Background in dynamical systems and control theory (broadly defined, including system identification, nonlinear dynamics, signal processing, and robotics) and familiarity with computational neuroscience is preferred. If interested, please send me an email. Make sure to attach your CV and all your past transcripts. I ensure that every inquiry is carefully reviewed, and follow up if I see potential for admission.

دانشگاه تورنتو: https://safwathassan.com/

We have 2-3 open PhD positions at the Smart Grid Lab at San Diego State University (SDSU) in collaboration with the University of California, San Diego (UCSD). These joint PhD positions offer a unique opportunity for highly motivated and qualified candidates with a strong background in power systems, optimization, and machine learning. As a PhD student in this program, you will primarily conduct research at the Smart Grid Lab at SDSU while taking your courses at UCSD, and upon completion, you will be granted a doctoral degree from both UCSD and SDSU. The program aims to develop cutting-edge solutions for the future smart grid infrastructure, addressing challenges in areas such as renewable energy integration, grid resilience, energy efficiency, and advanced control strategies. Requirements: - A strong background in power systems, optimization, and machine learning - A Master's degree in Electrical Engineering or a related field is preferred - Excellent problem-solving skills and the ability to work independently and as part of a team - Strong communication skills, both written and verbal -Experience with relevant software tools and programming languages is a plus To apply, please email the following materials with the subject line "Fall 2024 Smart Grid Lab PhD Applicant" to smanshadi AT sdsu DOT edu before Nov. 15, 2023: -Your CV/Resume -A letter of interest and qualifications -All Transcripts (unofficial copies are acceptable) -Standard test records (e.g., GRE (optional), TOEFL, etc.) -Any publication or sample writing (if available)