STPA analysis for safe operation of maritime autonomous surface ship under degradation state by Hyeri Park, Jeongmin Kim

Get full text

FedEasy : Federated learning with ease by Majid Kundroo, Ghani Haider, Nguyen Khoa, Abdul Wahab Mamond, Taehong Kim

“…However, existing FL frameworks often require extensive code modifications, creating challenges for researchers. …”
Get full text

Effects of Proprioception Exercises in the Rehabilitation Process of Football Players after Arthroscopic Surgery Anterior Cruciate Ligament (ACL) by Manouchehr Haidary

Get full text

FAIRness Along the Machine Learning Lifecycle Using Dataverse in Combination with MLflow by Lincoln Sherpa, Valentin Khaydarov, Ralph Müller-Pfefferkorn

“…Typical Machine Learning (ML) approaches are characterized by their iterative and exploratory nature: continuously refining and adapting not only code but also ML models to optimize the results and the performance on new data. …”
Get full text

A Survey of the Usage of Personal Protective Devices in Industrial Workers in Yazd, Iran, in 2011 by Amir Houshang Mehrparvar, Maryam Fazlalizadeh, Mehrdad Mostaghaci

Get full text

Highly accurate prophage island detection with PIDE by Hongyan Gao, Bowen Li, Zihan Guo, Lei Zheng, Junnan Chen, Guanxiang Liang

“…PIDE is available at https://github.com/chyghy/PIDE , with model training code at https://zenodo.org/records/16457629 .…”
Get full text

EDITORIAL by Ivan Čuk

“…The first article deals with training loads in women’s artistic gymnastics in the pre-pubertal period. …”
Get full text

ADeepWeeD: An adaptive deep learning framework for weed species classification by Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni, PhD

“…Existing DL-based weed classification techniques, including VGG16 and ResNet50, initially construct a model by implementing the algorithm on a training dataset comprising weed species, subsequently employing the model to identify weed species acquired during training. …”
Get full text

Low complexity radar signal classification based on spectrum shape by Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE

“…In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal classification algorithm based on spectrum shape was proposed.Signal spectrum was normalized, feature parameters were extracted by spectrum sampling method, and then machine learning classification model was trained.The test results of the data generated by the radar signal source show that the classification accuracy of Barker code, Frank code, LFM code, BPSK, QPSK modulation and conventional radar signals is more than 90% (SNR≥3 dB).The algorithm has low computational complexity, can adapt to the change of signal parameters, and has good generalization.…”
Get full text

Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

Get full text

Trajectory-Based Road Autolabeling With Lidar-Camera Fusion in Winter Conditions by Eerik Alamikkotervo, Henrik Toikka, Kari Tammi, Risto Ojala

“…Supervised deep learning methods provide accurate road segmentation in the domain of their training data but cannot be trusted in out-of-distribution scenarios. …”
Get full text

Development novice teachers’ higher-order thinking skills through online problem-based learning platform: A mixed methods experimental research by Pongwat Fongkanta, Fisik Sean Buakanok

“…Content analysis was used to code and categorize themes and pattern of HOTS perception. …”
Get full text

Prototype smart integrated fire detection based on deep learning YOLO v8 and IoT (internet of things) to improve early fire detection by Muhammad Azka Firdaus, Iqbal Ahmad Dahlan, H A Danang Rimbawa, Muhammad Azka Versantariqh, Setya Widyawan Prakosa

“…The waterfall prototype method was designed through observation, system design, program code creation, tool testing, and tool implementation. …”
Get full text

A Benchmark for Multi-Task Evaluation of Pretrained Models in Medical Report Generation by Lin Run, Li Chunxiao, Wang Ruixuan

“…More importantly, we conduct an in-depth analysis comparing modality-specific pre-trained models, natural domain pre-trained models, and medical foundation pre-trained models. …”
Get full text

Evaluating Grayware Characteristics and Risks by Zhongqiang Chen, Zhanyan Liang, Yuan Zhang, Zhongrong Chen

“…Armed with Support Vector Machines, the framework builds learning models based on training data extracted automatically from grayware encyclopedias and visualizes categorization results with Self-Organizing Maps. …”
Get full text

Welding defect detection with image processing on a custom small dataset: A comparative study by József Szőlősi, Béla J. Szekeres, Péter Magyar, Bán Adrián, Gábor Farkas, Mátyás Andó

“…It lays the groundwork for future exploration in larger datasets and varied welding scenarios, potentially contributing to defect detection practices in manufacturing industries. The dataset and the code repository links are also provided to support our findings.…”
Get full text

External Auditors' Impact on Corporate Governance of Unlisted Firms: A Developing Country Perspective by Prince Dacosta Anaman, Ibrahim Anyass Ahmed, Frank Appiah-Oware, Frank Somiah-Quaw

“…Findings: The study found that the presence of boards, familiarity with corporate governance codes, and adherence to the code of conduct are prevalent in unlisted firms in Ghana. …”
Get full text

Manajemen Digital Sekolah Berbasis Google Workspace dalam Meningkatkan Kompetensi Guru dan Inovasi Pembelajaran (Studi Kasus SMP 57 Bandung) by Fifin Arifiani Agustiany, Hilmi Aulia Istiqomah, Ricky Yoseptry, Dini Indiriani, Rudi Setiawan, Syaripudin Syaripudin

“…The study recommends ongoing training and the development of data-driven evaluation systems to ensure the sustainable implementation of digital school management. …”
Get full text

Continual deep reinforcement learning with task-agnostic policy distillation by Muhammad Burhan Hafez, Kerim Erekmen

“…This is crucial because each task requires significant training time. Addressing the problem of continual learning necessitates various methods due to the complexity of the problem space. …”
Get full text

<italic>M</italic>-ary overmodulation based on cyclic shift symbols for pilot-free short packet communication scheme by XIU Menglei, DOU Gaoqi, WANG Hao

“…The scheme adopted cycle code shift keying (CCSK) to modulate pseudo noise (PN) sequences, and used <italic>M</italic>-ary overmodulation sequences to perform secondary modulation on multiple CCSK symbols. …”
Get full text