E-EVAL experimental results. حسب Jin Lu (428513)

"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"

TQA Accuracy Comparison Chart on different LLM. حسب Jin Lu (428513)

"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"

ScienceQA experimental results. حسب Jin Lu (428513)

"…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

"…In recent years, manual model tuning has been gradually replaced by automated parameter search using a variety of different tools and methods. …"

Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing حسب Pavel Izosimov (20096259)

"…<p dir="ltr">Local Python Code Protector Script: Advanced Tool for Python Code Protection and Secure Sharing</p><h2>Introduction</h2><p dir="ltr">The <b>Local Python Code Protector Script</b> is a powerful command-line tool designed to provide <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>source code protection</b></a> and <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank"><b>secure code sharing</b></a> for Python scripts. …"

Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. حسب Gursimran Singh (575288)

Segmentation module training details. حسب Khelina Fedorchuk (19130089)

PTPC-UHT bounce حسب David Parry (22169299)

"…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"

Comparison of BlueRecording with existing tools حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ₀, and different frequencies, , at different cutoff-values, δ_scan ∊ [3... حسب Guillermo Pérez-Hernández (21156182)

Results obtained from the Bistable Gut Inflammation Detector model. حسب Fabricio Cravo (21387854)

الموضوعات:

(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. حسب Fabricio Cravo (21387854)

الموضوعات:

Left schematic of the XOR gate implementation [11]. حسب Fabricio Cravo (21387854)

الموضوعات:

Simulated dynamics of the Mutual Annihilation protocol [26]. حسب Fabricio Cravo (21387854)

الموضوعات:

Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11]. حسب Fabricio Cravo (21387854)

الموضوعات:

Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5]. حسب Fabricio Cravo (21387854)

الموضوعات:

Matching products with reactants for the example meta-reaction where S1 and S2 are distinct meta-species. حسب Fabricio Cravo (21387854)

الموضوعات:

Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28]. حسب Fabricio Cravo (21387854)

الموضوعات:

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery حسب M RN (9866504)

Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... حسب Enock Niyonkuru (21246879)

الموضوعات: