سمینار آموزشی: "صفر تا صد روش تحقیق و مقاله نویسی، از ابتدای جستجوی اینترنتی تا چگونگی پاسخ به داوران​ مقاله"

ارائه: جناب آقای دکتر علی توکلی کاشانی
محل برگزاری: سالن مجازی به آدرس
https://meetingvc.iust.ac.ir/civil_tavakoli
زمان: سه شنبه 1403/9/20
ساعت: 17:30

فعلا با توجه به مشکل آلودگی هوا، کمبود گاز و تعطیلی احتمالی، مراسم اختتامیه جشنواره به تعویق افتاده، تاریخ بعدی اطلاع رسانی خواهد شد

کنفرانس BTR

We are thrilled to inform you that our paper entitled “The short-term prediction of daily traffic volume for rural roads using shallow and deep learning networks: ANN and LSTM” has been published in the Journal of Supercomputing. Predicting daily traffic volume in the short term is of great importance for rural roads since it assists in relieving congestion, trip planning, and improving the level of service (LOS). Benchmark parametric methods like seasonal autoregressive integrated moving average (SARIMA) is not sophisticated enough to properly employ big data. Shallow learning techniques like the artificial neural network (ANN) cannot capture short-term and long-term time dependencies of daily traffic volume. Therefore, long short-term memory (LSTM) has been suggested to estimate the daily traffic volume of rural roads. The daily traffic volume for three types of roads, i.e., high-volume roads, international roads for transit of goods, and recreational roads leading to the city of Mashhad, Iran, was estimated using LSTM. Interested readers can read the preprint of the paper via https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4168660 or access it via https://link.springer.com/article/10.1007/s11227-023-05333-w.

🚴‍♀️ Exploring the Mind: How Security Perceptions Shape Female Cyclists’ Choices 🌐🧠

Thrilled to share our latest research: "Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments" in Nature’s Journal Scientific Reports.

https://www.nature.com/articles/s41598-024-81271-8

Cycling is a cornerstone of active transportation, promoting mobility, sustainability, and better health. Yet, the gap between male and female cycling participation remains stark in many low- and middle-income countries. Why? Security perceptions play a pivotal role.

Our study leverages cutting-edge virtual reality (VR) cycling simulations and electroencephalography (EEG) analysis to investigate the factors shaping female cyclists’ feelings of security in Tehran.

🔍 Key highlights:
👉 52 participants engaged in VR scenarios simulating diverse urban environments.
👉 Brainwave data and stated preferences were analyzed to understand security perceptions.
👉 Machine learning methods identified influential factors, with support vector machine (F1 score: 0.74) as the top classifier.

A big thank you to my amazing co-authors: Mohammad Arbabpour Bidgoli, Arian Behmanesh, Phromphat Thansirichaisree, Zuduo Zheng, Sara Saberi Moghadam Tehrani, Sajjad Mazloum, and Sirisilp Kongsilp.

Looking forward to fostering discussions on creating safer, more inclusive cities for everyone.

Photo from Amir Reza Mamdoohi

با سلام و احترام
همکاری عزيزان در قالب ارائه کارگاه یا مقاله موجب‌ امتنان است.

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بسمه تعالی
فرهیخته گرامی، استاد ارجمند،
با سلام و احترام،

بدین وسیله از شما دعوت می‌شود در چهاردهمین کنگره بین‌المللی مهندسی عمران که از تاریخ 29 مهر ماه تا 1 آبان ماه 1404 در دانشگاه صنعتی شریف، تهران، ایران برگزار خواهد شد، شرکت و آخرین دستاوردهای پژوهشی ارزشمند خود را ارائه نمایید.
این کنگره فرصتی بی‌نظیر برای گردهمایی متخصصان، پژوهشگران، مهندسان شاغل و دانشجویان حوزه‌های مختلف مهندسی عمران است تا ضمن به اشتراک‌گذاری دستاوردهای علمی و پژوهشی خود، به توسعه دانش و فناوری در این حوزه کمک نمایند.
احتراما، دعوت می‌شود چکیده مقالات خود را تا 30 بهمن ماه 1403، مطابق با قالب تعیین‌شده، از طریق تارنمای رسمی کنگره ارسال نمایند. پوستر کنگره و اطلاعات تکمیلی به پیوست ارسال می‌شود. همچنین، اقدامات لازم جهت اخذ گواهی ISC نیز انجام شده است.
امید است با مشارکت شما، شاهد برگزاری کنگره‌ای پربار و ارزشمند باشیم.

با تجدید احترام،
دبیرخانه چهاردهمین کنگره بین‌المللی مهندسی عمران
دانشکده مهندسی عمران، دانشگاه صنعتی شریف، تهران
تلفن دبیرخانه: 66164206-021
دورنگار: 66014828-021
تارنمای کنگره:
 14icce.ir
14icce.sharif.edu
رایانامه:   14icce@sharif.edu

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🛴 Exploring the Future of Urban Mobility with E-Scooters! 🌍

As cities around the world face transportation challenges, micromobility solutions like shared dockless e-scooters (SDES) are emerging as transformative alternatives. Their appeal extends beyond mere socio-economic advantages as individual personality traits play a significant role in influencing their acceptance. Our recent research explores how these personality traits affect the adoption of SDES in Tehran, Iran. We integrate the Big Five personality traits and sensation-seeking into the Technology Acceptance Model (TAM), leading to several policy recommendations. For instance, leveraging social media can engage individuals who score high in openness to new experiences. Safety measures may resonate more with those exhibiting high levels of neuroticism, while loyalty programs could attract sensation-seekers looking for exciting alternatives. Additionally, we find that investing in dedicated pathways and supportive regulations can enhance the reliability of SDES and encourage users to consider these vehicles as convenient options for short-to-medium range trips.

Let’s welcome the micromobility movement! 🚀

Please use the following link for free access.

https://authors.elsevier.com/a/1kIBjy5jOuxOP