General 2025

Defense Industry Summit 2025 (SSZ'25)

Related SDGs

SDG 4 Quality Education

SDG 8 Decent Work

SDG 9 Industry & Innovation

SDG 17 Partnerships

Organized for the fourth time this year by the Defense Industry Technologies Club (SST) of Yıldız Technical University, the Defense Industry Summit 2025 (SSZ'25) was held on May 27, 2025, at the Conference Hall of the Faculty of Electrical and Electronics on the Davutpaşa Campus. Bringing together leading companies and distinguished experts from the sector, the summit featured technical sessions focusing on the latest technological developments in the defense industry, domestic production projects, and global defense strategies. Participants were also provided with the opportunity to interact directly with human resources representatives at company booths in the exhibition area, enabling them to obtain information about career and internship opportunities.

Source

instagram.com/yildizsst/p/DJq0UL_CksS/

All activities

Scopus · Peer-reviewed research

All articles

2025 · 2 citations

A Hybrid IVFF-AHP and Deep Reinforcement Learning Framework for an ATM Location and Routing Problem

Bahar Yalçın Kavuş, Kübra Yazıcı, Alev Taşkın Gümüş

Applied Sciences

2024 · 6 citations

SDG Impact Index with Double Materiality Perspective: Evidence from OECD Commercial Bank Industry

Güler Aras, Özlem Kutlu Furtuna, Evrim Hacıoglu Kazak

Social Indicators Research

2024 · 2 citations

Transformative role of artificial intelligence in enhancing occupational health and safety: A systematic review and meta-analysis

Turabi KARADAĞ

The European Research Journal

2022 · 28 citations

Network Page Building Methodical Reviews Using Involuntary Manuscript Classification Procedures Founded on Deep Learning

Bassam Talib Sabri, Bilal Alhayani

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

2022 · 18 citations

Predicting Patent Quality Based on Machine Learning Approach

Zülfiye Erdoğan, Serkan Altuntaş, Türkay Dereli

IEEE Transactions on Engineering Management

2021 · 344 citations

Coronavirus disease (COVID-19) cases analysis using machine-learning applications

Ameer Sardar Kwekha Rashid, Heamn Noori Abduljabbar, Bilal Alhayani

Applied Nanoscience

JEKPOINT Bootcamp

Metro Istanbul Technical Site Visit

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