Adaptive Personalized Federated (APFed) is presented in this section, starting with an overview of its architecture before describing its algorithm, data preprocessing techniques, and the Lightweight Depthwise Convolutional Bottleneck Network…
Category: 7. Maths
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Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots: modified elephant herding optimization for trajectory tracking
To evaluate the performance of the proposed ISMC-FLC- MEHO controller, numerical simulations were conducted using MATLAB R2022b. The test scenarios involved guiding the TOMR along a predefined triangular trajectory and a C-shape trajectory with a…
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AI-driven drug discovery using a context-aware hybrid model to optimize drug-target interactions
Improving prediction accuracy in detecting drug-target interactions is the objective of the investigation. The Kaggle data with 11,000 drug data points was used in the research. Techniques, including text normalization, were used during…
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Predicting road adhesion coefficient with a fusion strategy of SHAP dynamic parameters
7-degree-of-freedom (7-DOF) vehicle model
In this study, a nonlinear 7-degree-of-freedom vehicle dynamics model is developed, encompassing the longitudinal and lateral motion of the vehicle body, yaw rotation, and the rotational dynamics of all…
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Research on complex financial decision making driven by geometric aggregation and intelligent optimization of high-dimensional expert information
The process of aggregation
Aggregation Idea
In multi-attribute group decision-making, each expert’s evaluation of alternatives across multiple attributes can be represented as a multi-dimensional vector. In this study, PFZN representation is…
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Prototype based contrastive graph clustering network for reducing false negatives
This section introduces the proposed prototype-driven contrastive graph clustering network, as shown in Fig. 1. The network consists of two primary components: the Multi-Scale Attribute Feature Aggregation Graph Contrastive Module (MSAFA) and the…
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Assessment of ChatGPT performance in orbital MRI reporting with multimetric evaluation of transformer based language models
Study design
The aim of this pilot study is to evaluate the fidelity and clinical relevance of radiology reports generated by a LLM. Study design consists of a structured comparison between human-authored reports and reports generated by ChatGPT…
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Quantum simulations that once needed supercomputers now run on laptops
Picture diving deep into the quantum realm, where unimaginably small particles can exist and interact in more than a trillion possible ways at the same time.
It’s as complex as it sounds. To understand these mind-bending systems and their…
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An efficient three-term conjugate gradient algorithm with restart strategy and image restoration
We analyze the sufficient descent property and prove the global convergence of the proposed method in this section. The following lemma shows that the search direction always satisfies the sufficient descent property independent of line search…
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Computational and ethical considerations for using large language models in psychotherapy
Chen, Y. et al. SoulChat: Improving LLMs’ empathy, listening, and comfort abilities through fine-tuning with multi-turn empathy conversations. In Findings of the Association for Computational Linguistics: EMNLP 2023 (eds Bouamor, H. et al.)…
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