Benchmark dataset CCBench
Due to the lack of datasets for evaluating the performance of LLM and LVLM in cervical cytology screening, we first constructed CCBench, a benchmark dataset sourcing from the TBS textbook29. Through a GPT-4 based…

Due to the lack of datasets for evaluating the performance of LLM and LVLM in cervical cytology screening, we first constructed CCBench, a benchmark dataset sourcing from the TBS textbook29. Through a GPT-4 based…

In this study, we have introduced a new VDTC-CEOADL technique for the identification and classification of vehicles on high-resolution RSIs. The VDTC-CEOADL technique presented examined high-quality RSIs to precisely detect and classify different…

This section presents simulation experiments to evaluate the performance of algorithms in NLOS environments. It focuses on assessing the Chan algorithm’s effectiveness as…

In order to meet the diversity requirements of speech recognition in real-time interactive scenes, this study uses two kinds of datasets for training and testing. The first kind of dataset includes Aishell-1, HKUST, LibriSpeech…

The performance of the proposed passive KB-CMFD method has been evaluated using three standard datasets, namely CoMoFoD (Copy-Move Forgery Detection)40, MICC-F220 (Media Integration and Communication Center-Forensic 220)41, and Defecto MSCOCO…

The design of the minimum hardware system designed in this paper mainly contains sensor module, microprocessor module, power supply module communication link. The overall framework of the system is shown in…

The prospective validation study was conducted using the publicly available database of COVID-19 patients in Mexico. This database, which includes all officially reported confirmed and suspected cases of COVID-19 in Mexico, is available in…

Rao, Q. & Frtunikj, J. Deep learning for self-driving cars: chances and challenges. In 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) 35–38 (IEEE, 2018).
Ker, J. & Wang, L. Deep learning…

This section aims to describe the approach and techniques employed in this study, which are divided into two main parts: the “Hybrid clustering model” for grouping patient visits based on patient-physician characteristics, and the “Robust…

The aim is supply chain network of a manufacturing enterprise, manufacturer of certain products, selling, and recycling. Based on the company’s actual circumstances, it is determined that the enterprise has 6 customers (c =…