UNestFormer: Enhancing Decoders and Skip Connections With Nested Transformers for Medical Image Segmentation by Adnan Md Tayeb, Tae-Hyong Kim

“…However, current approaches face at least one of three limitations: 1) CNN-based models struggle to capture long-range dependencies, 2) Transformer-based models have limitations in extracting local features, resulting in a loss of low-level details, and 3) hybrid models are computationally complex. …”
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ImageOP: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification by André Luiz Carvalho Ottoni, Lara Toledo Cordeiro Ottoni

“…In this research field, visual inspection of historical buildings and the digitization of heritage using machine learning models stand out. However, the literature still lacks datasets for the classification and identification of Brazilian religious buildings using deep learning, particularly with images from the historic town of Ouro Preto. …”
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Deep learning based local feature classification to automatically identify single molecule fluorescence events by Shuqi Zhou, Yu Miao, Haoren Qiu, Yuan Yao, Wenjuan Wang, Chunlai Chen

“…In this study, we introduce DEBRIS (Deep lEarning Based fRagmentatIon approach for Single-molecule fluorescence event identification), a deep-learning model focusing on classifying local features and capable of automatically identifying steady fluorescence signals and dynamically emerging signals of different patterns. …”
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DeBo: Contrast enhancement for image registration using binary differential evolution and bat optimization. by Muhammad Adeel Akram, Tallha Akram, Umer Javed, Muhammad Rafiq, Mehvish Naz, Di He

“…In this study, we proposed a hybrid binary differential evolution and BAT optimization model to enhance contrast stretching by optimizing a decision variables in the transformation function. …”
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Rancang Bangun Aplikasi Perekrutan Pegawai Berbasis Web (Studi Kasus Universitas Universal) by Marfuah Marfuah, Suryo Widiantoro

“…E-recruitment has several stages that are determined by the organization, using internet media such as WEB to get a decent workforce effectively and efficiently. The application design or conceptual system starting from problem identification, system requirement analysis to design, depiction using a model of Unified Modeling Language as a communication bridge tosome aspects of system, simplify the system development as needed. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…The simulation results indicate that the developed model achieves an 80% reduction in model size while maintaining an accuracy exceeding 90%. …”
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YOLO-PWSL-Enhanced Robotic Fish: An Integrated Object Detection System for Underwater Monitoring by Lingrui Lei, Ying Tang, Weidong Zhang, Quan Tang, Haichi Hao

“…It is also equipped with YOLO-PWSL, an improved underwater fish identification model based on YOLOv5s. YOLO-PWSL integrates three key enhancements. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…However, traditional methods often struggle with challenges such as the poor detection of small objects and low efficiency when processing large-scale data. To address these issues, this paper proposes a vehicle flow detection and tracking method that integrates an improved YOLOv8n model with the ByteTrack algorithm. …”
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Topological data analysis and machine learning for COVID-19 detection in CT scan lung images by Rabih Assaf, Abbas Rammal, Alban Goupil, Mohammad Kacim, Valeriu Vrabie

“…Results of the model on the same data after exclusion of the topological features and on other data with application of the same model with topological features showed the efficiency of these features in the classification task.…”
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Optimizing AlexNet for accurate tree species classification via multi-branch architecture and mixed-domain attention by Jianjianxian Liu, Tao Xing, Xiangyu Wang

“…Although the introduction of optimized structures increases computational complexity, it reduces the model size by 12MB. Furthermore, MMCAlexNet decreases the model size by 306.24MB and improves accuracy by 3.94%–6.35% compared to VGG16, demonstrating a balance between improved accuracy and computational efficiency.…”
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Dynamic route planning for emergency escape in coal mines using a Dijkstra-ACO hybrid algorithm by LU Guoju, SHI Wenfang

“…This model allowed for real-time adjustment of escape routes based on environmental changes in tunnel slope and water level, thereby improving escape efficiency and safety. …”
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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…In spectroscopic analysis, the development of cost-effective handheld infrared spectrometers has revolutionized monitoring practices, particularly in industries like agriculture and food production. Analysis time and efficiency of processing the raw spectral data are further boosted by the implementation of machine learning models for identification and quantification purposes. …”
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Torsional Vibration Characterization of Hybrid Power Systems via Disturbance Observer and Partitioned Learning by Tao Zheng, Hui Xie, Boqiang Liang

“…A simplified model of the drivetrain shaft system is first established, and an extended state Kalman filter (ESKF) is designed to accurately estimate the torque of the torsional damper. …”
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Ship crack detection method based on lightweight fast convolution and bidirectional weighted feature fusion network by Chong WANG, Yuhui ZHU

“…Second, C3_Faster constructed by a fast convolutional structure is used instead of the original C3 module in the neck of the network to improve the processing speed of the model and enhance its rapidity. Finally, an improved bidirectional weighted feature fusion network (BiFFN) is used to enrich the semantic and positional information of cracks in the feature map and improve the model's crack identification accuracy and location precision. …”
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Surface plasmon resonance to trace and measure cancer cell apoptosis using morphological and refractive index changes by Nor Akmaliza Rais, Fatimah Abouhajar, Daniel D. Stuart, Westley Van Zant, Quan Cheng

“…This model helped resolve the disagreement between SPR signal and cell confluency at high H2O2 concentrations. …”
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Analysis of oil rim transformation: Cases of Goryuchkinskoye and Yuzhno-Generalskoye oil fields in Saratov oblast by E. N. Fedoseeva, G. N. Potemkin

“…The results of geological and field research, development data, and existing geological and filtration models were used as source materials. Geological and commercial analysis was used as the main research method, taking into account the results of reservoir modeling. …”
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Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes by Karolina Buka, Zofia Parteka-Tojek, Abhishek Agarwal, Michał Denkiewicz, Sevastianos Korsak, Mateusz Chiliński, Krzysztof H. Banecki, Dariusz Plewczynski

“…Finally, using advanced approaches for biophysical modelling and stripe calling we generate accurate loop extrusion polymer models for a region of interest and provide a detailed picture of architectural stripes, respectively.…”
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A continuous kinematic calibration method for accuracy maintenance of industrial robot based on recursive least squares algorithm by Guifang Qiao, Xinyi Jiang, Mingyu Zhang, Chunhui Gao, Ying Zhang

“…Firstly, the Modified DH (MDH) model and kinematic error model of the industrial robot have been established. …”
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Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Improving art security necessitates the precise identification of fine-art paintings. Although current recognition systems have shown potential, there is significant scope for enhancing their efficiency. …”
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Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study. by Solange Amorim Nogueira, Fernanda Ambrogi B Luz, Thiago Fellipe O Camargo, Julio Cesar S Oliveira, Guilherme Carvalho Campos Neto, Felipe Brazao F Carvalhaes, Marcio Rodrigues C Reis, Paulo Victor Santos, Giovanna Souza Mendes, Rafael Maffei Loureiro, Daniel Tornieri, Viviane M Gomes Pacheco, Antonio Paulo Coimbra, Wesley Pacheco Calixto

“…The results demonstrate the efficiency of the proposed artificial intelligence model, with a Dice coefficient of 87% and an average Intersection over Union of 0.8, reflecting high agreement with the manual segmentations produced by experts and surpassing traditional interpretation methods. …”
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