Malice-Scan is presented, a configurable static analysis security scanner designed to inspect source code without executing it, which provides a lightweight and extensible approach for security-oriented source-code scanning and can be integrated into local review and CI/CD workflows.
Pilli Chandana Das, D. Venkateswarlu· International Journal for Re...· 0 citations
The rapid expansion of Internet of Things (IoT) applications requires reliable evaluation frameworks capable of reproducing realistic radio-frequency (RF) environments. One of the main challenges is the limited availability of spectrum caused by the growing number of connected devices. This letter presents an experimen...
Julio Manco, Iyad Dayoub· IEEE Sensors Letters· 0 citations
Editor’s notes: This article provides a comprehensive survey of functional testing and validation methodologies for quantum circuits, bridging classical testing concepts with their quantum counterparts. Covering techniques ranging from coverage analysis and assertions to formal verification, mutation testing, metamorph...
The results show that structured preprocessing and tuning influenced performance, although the effects differed across architectures and stocks, and that structured preprocessing and tuning influenced performance, although the effects differed across architectures and stocks.
Fauzan Ghazi, S. Anuar, Saharudin Ismail et al.· Journal of Data Science and...· 0 citations
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Several infectious and stress-related dermatological diseases were more prevalent among prisoners, whereas dermatitis was more frequent in the general population, indicating that environmental conditions and psychosocial factors may influence the distribution of dermatological diseases and highlight the importance of t...
Candan Çelik, M. S. Çelik· Dicle Tıp Dergisi· 0 citations
Support for creator protection is compatible with more lenient treatment of genuine non-commercial research and with recognition of AI's social benefits, and is compatible with more lenient treatment of genuine non-commercial research and with recognition of AI's social benefits.
Shailesh Singh, Zaman Rizvi· International Journal For Mu...· 0 citations
This project developed and validated an automated system using the YOLOv8 instance segmentation architecture to optimize the counting and classification of viable and non-viable seeds based on the tetrazolium test, demonstrating high precision in class distinction.
Paulo Martin Carreño Ferreira da Motta, M. A. Pazoti, N. B. Machado· Colloquium Exactarum· 0 citations
Pulsar observations require backend systems capable of converting telescope signals into data products suitable for scientific analysis while supporting high time resolution, coherent dedispersion, and multiple observing modes. We present the development and performance evaluation of the Tianma Pulsar Observation B...
Chu-Yuan Zhang, Rong-Bing Zhao, Zhen Yan et al.· Research in Astronomy and As...· 0 citations
This study examined the relationship between sales force training and performance of tissue manufacturing firms in South East Nigeria. The researcher adopted survey research design and questionnaire served as the instrument of data collection. The population comprises the entire sales staff in sales/marketing departmen...
Adiele Enyinnaya Ernest, M. Azugama, Uzoamaka Josephine Uhie· Journal of African Innovatio...· 0 citations
The results demonstrate that, once a domain metamodel and expert-authored examples are available, few-shot code generation can extract legal metadata relationships without training a task-specific supervised model and can be adapted to unseen legislation.
Anmol Singhal, Travis D. Breaux· Requirements Engineering· 0 citations
By developing a digital model of the heat exchanger, the exercise serves as a cognitive tool—encouraging students to explore more advanced problems, such as the completion of parametric studies, thereby reinforcing the understanding of theoretical concepts.
Ronny Pini, David Büchner, Marcos Millan-Agorio et al.· Discover Education· 0 citations
The results show that short-term collective innovation leaves detectable behavioral and structural traces in software repositories and provide a reproducible basis for isolating innovation-contest software and studying how its outputs relate to the sustained open-source ecosystem around them.
Eisha Tir Raazia, Carlos Vivar-Rios, Robin Franken et al.· Proceedings of the 14th ACM...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.