A Robust Watermarking Scheme Based on Maximum Wavelet Coefficient Modification and Optimal Threshold Technique by Chunlei Li, Xiaowei Song, Zhoufeng Liu, Aihua Zhang, Ruimin Yang

“…During the extraction process, an optimal threshold value calculated by iterative computation is used to extract the watermark from the watermarked image under different attacks, without using the original image or watermark. …”
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Automated sample annotation for diabetes mellitus in healthcare integrated biobanking by Johannes Stolp, Christoph Weber, Danny Ammon, André Scherag, Claudia Fischer, Christof Kloos, Gunter Wolf, P. Christian Schulze, Utz Settmacher, Michael Bauer, Andreas Stallmach, Michael Kiehntopf, Boris Betz

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Predicting danceability and song ratings using deep learning and auditory features by Wei Wu

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Analysis of docker container Implementation in SIEM infrastructure by Noper Ardi, Ahmadi Irmansyah Lubis, Ikhwan Ash Shafa Arrafi

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Multidimensional Costas Arrays and Their Enumeration Using GPUs and FPGAs by Rafael A. Arce-Nazario, José Ortiz-Ubarri

“…The enumeration of two-dimensional Costas arrays is a problem with factorial time complexity and has been solved for sizes up to 29 using computer clusters. Costas arrays of higher dimensionality have recently been proposed and their properties are beginning to be understood. …”
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Efficient Load-Aware Channel Allocation in Wireless Access Networks by George Athanasiou, Ioannis Broustis, Leandros Tassiulas

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A literature survey of shapelet quality measures for time series classification by Teng Li, Xiaodong Guo, Cun Ji

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Research on Supply Chain Cost Control Method of Intelligent Manufacturing Enterprise Based on Improved IQC Algorithm by Yang Shang

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Text-Dependent Writer Identification for Arabic Handwriting by Somaya Al-Maadeed

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On Activation, Connection, and Behavior in Dynamic Architectures by D. Marmsoler, M. Gleirscher

“…With the emergence of mobile computing, dynamic architectures became increasingly important. …”
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Comparison of Support Vector Machine and Decision Tree Algorithm Performance with Undersampling Approach in Predicting Heart Disease Based on Lifestyle by Gusti Ayu Putu Febriyanti, Anna Baita

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Comparison of ResNet-50, EfficientNet-B1, and VGG-16 Algorithms for Cataract Eye Image Classification by Ilham Santoso, Ayub Michaelangelo Manurung, Egia Rosi Subhiyakto

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Speaker Recognition Using Wavelet Packet Entropy, I-Vector, and Cosine Distance Scoring by Lei Lei, She Kun

“…To reduce the time cost, the parallel computation is used.…”
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LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering by Zhensheng Liu, Prateek Agrawal, Saurabh Singhal, Vishu Madaan, Mohit Kumar, Pawan Kumar Verma

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Determining Vibration Frequency and Damping of Metal Beams Using Image Processing Method by Fardin Moradi, Jamshid Sabouri, Sayyedjavad Sayyedfattahi

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IoT intrusion detection system based on machine learning and deep learning by karrar Majid Jasim, Joolan Rokan Nayef

“…The proliferation of Internet of Things IoT devices has amplified cybersecurity challenges, necessitating robust Intrusion Detection Systems IDS to safeguard against threats such as botnets and Distributed Denial-of-Service DDoS attacks. This paper evaluates the performance of Machine Learning ML and Deep Learning DL models on two benchmark datasets, BoT-IoT and CIC-IDS2017, to develop efficient IDS. …”
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On the Capacity of MIMO Weibull-Gamma Fading Channels in Low SNR Regime by Keerti Tiwari, Davinder S. Saini, Sunil V. Bhooshan

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Predicting sport event outcomes using deep learning by Jianxiong Gao, Yi Cheng, Jianwei Gao

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Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping by SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, V. E.

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Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets by Zahraa Ahmed, Mesut Çevik

“…However, the “curse of dimensionality” caused by the high-dimensional microarray datasets impacts the accurate prediction of the disease due to issues of overfitting, bias, and high computational demands. To alleviate such an effect, this study proposes a gene selection approach based on the parameter-free and large-scale manta ray foraging optimization algorithm. …”
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