With blockchain technology rapidly progress, the smart contracts have become a common tool in a number of industries including finance, healthcare, insurance and gaming. The number of smart contracts has multiplied, and at the same time, the security of smart contracts has drawn considerable attention due to the monetary losses brought on by smart contract vulnerabilities. Existing analysis techniques are capable of identifying a large number of smart contract security flaws, but they rely too much on rigid criteria established by specialists, where the detection process takes much longer as the complexity of the smart contract rises. In this paper, we propose HyMo as a multi-modal hybrid deep learning model, which intelligently considers various input representations to consider multimodality and FastText word embedding technique, which represents each word as an n-gram of characters with BiGRU deep learning technique, as a sequence processing model that consists of two GRUs to achieve higher accuracy in smart contract vulnerability detection. The model gathers features using various deep learning models to identify the smart contract vulnerabilities. Through a series of studies on the currently publicly accessible dataset such as ScrawlD, we show that our hybrid HyMo model has excellent smart contract vulnerability detection performance. Therefore, HyMo performs better detection of smart contract vulnerabilities against other approaches.

Iran has located the wreckage of a passenger plane that went down in a mountainous part of the country earlier this week, killing all 65 people on board. A military drone was used to locate the crash site, and two helicopters were then dispatched to the snow-covered scene, Iranian Revolutionary Guard Corps spokesman Ramezan Sharif told Iran's state television on Tuesday. "The plane had hit the top of the mountain before crashing 30 metres further down," Sharif said. The Aseman Airlines plane went down in the Zagros Mountains range in central Iran on Sunday during a domestic flight from the Iranian capital, Tehran, to the southwestern city of Yasuj. It had been carrying 59 passengers and six crew members, all of whom died in the crash, according to Iran's state-run Press TV.