AIMC Topic: Software

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A study on classification based concurrent API calls and optimal model combination for tool augmented LLMs for AI agent.

Scientific reports Jul 1, 2025
AI Agents have evolved to not only recommend content but also facilitate information retrieval and task processing. Developing AI Agents using general-purpose LLM models necessitates integration with external tools, leading to tool-augmented LLM stud...
Humans Artificial Intelligence Models, Theoretical Software Algorithms
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Automated framework for comprehensive usability analysis of healthcare websites using web parsing.

Scientific reports Jul 1, 2025
In the digital age, hospital websites are essential for providing healthcare information and services. This research introduces an automated tool, WUAHP, created in Python utilizing BeautifulSoup for HTML parsing. This facilitates the extraction of s...
Humans Internet Software User-Computer Interface
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Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications.

Nature communications Jul 1, 2025
Lack of standardization in biofoundries limits the scalability and efficiency of synthetic biology research. Here, we propose an abstraction hierarchy that organizes biofoundry activities into four interoperable levels: Project, Service/Capability, W...
Artificial Intelligence Software Reproducibility of Results Workflow Humans Synthetic Biology
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RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks.

Nature communications Jul 1, 2025
While RNA has recently been recognized as an interesting small-molecule drug target, many challenges remain to be addressed before we take full advantage of it. This emphasizes the necessity to improve our understanding of its structures and function...
Deep Learning Computational Biology Software Nucleic Acid Conformation Sequence Analysis, RNA RNA, Untranslated RNA
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Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner.

PloS one Jun 26, 2025
The Internet has continued to provision its infrastructure as a platform for competitive marketing, enhanced productivity, and monetization efficacy. However, it has become a means for adversaries to exploit unsuspecting users and, in turn, compromis...
Internet Computer Security Humans Machine Learning Software Algorithms
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OpenExo: An open-source modular exoskeleton to augment human function.

Science robotics Jun 25, 2025
Although the field of wearable robotic exoskeletons is rapidly expanding, there are several barriers to entry that discourage many from pursuing research in this area, ultimately hindering growth. Chief among these is the lengthy and costly developme...
Exoskeleton Device Weight-Bearing Equipment Design Ankle Software Biomechanical Phenomena Wearable Electronic Devices Robotics Humans
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CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy.

eLife Jun 24, 2025
Understanding the complex three-dimensional structure of cells is crucial across many disciplines in biology and especially in neuroscience. Here, we introduce a set of models including a 3D transformer (SwinUNetR) and a novel 3D self-supervised lear...
Humans Software Animals Imaging, Three-Dimensional Mice Supervised Machine Learning Microscopy, Fluorescence
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Semi-automated high content analysis of pollen performance using tubetracker.

Plant reproduction Jun 16, 2025
TubeTracker provides a method to partially automate analysis of pollen tube growth using live imaging. Pollen function is critical for successful plant reproduction and crop productivity and it is important to develop accessible methods to quantitati...
Pollen Pollen Tube Software Germination Image Processing, Computer-Assisted Solanum lycopersicum
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AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.

Science advances Jun 13, 2025
B cell epitope prediction tools are crucial for designing vaccines and disease diagnostics. However, predicting which antigens a specific antibody binds to and their exact binding sites (epitopes) remains challenging. Here, we present AbEpiTope-1.0, ...
Protein Folding Humans Epitopes, B-Lymphocyte Machine Learning Antigens Antigen-Antibody Complex Models, Molecular Software Antibodies Computational Biology
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In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques.

PloS one Jun 11, 2025
Most previous research focuses on finding Self-Admitted Technical Debt (SATD) or detecting bugs alone, rather to addressing the concurrent identification of both issues. These study investigations solely identify and classify the SATD or faults, with...
Software Deep Learning Humans
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