Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…After data encoding and embedding into the low-order bits of host image, modulus function is used to increase visual quality of stego image. …”
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OUTLIERS HANDLING ON SEASONAL ARIMA INTERVENTION MODEL (CASE: IMPACT OF MOST FAVORED NATION POLICY ON INDONESIAN HOT ROLLED COIL/PLATE) by Fadhila Annisa Maksum, Siskarossa Ika Oktora

“…The pre-intervention model formed contains seasonal and step functions, which does not fulfill the white noise of the final intervention model. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…New mathematical models were developed for the criteria for operational efficiency, stability, integrity and security in relation to the system center, which, unlike the known mathematical models for evaluating system centers for selecting the next options for centralization, are presented in analytical expressions that take into account the features of the types of centralization in the system architecture, indicators of operational efficiency, stability, integrity and security in relation to the system center and allow forming on their basis an objective function for evaluating options for centralization in systems, the feature of which is the hiding of components with the system center from detection by attackers. …”
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Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants by Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, A. R. Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy

“…As spike detection and counting in wheat phenotyping are closely related to the yield, Web-SpikeSegNet is a significant step forward in the field of wheat phenotyping and will be very useful to the researchers and students working in the domain.…”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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AirStrum: A virtual guitar using real-time hand gesture recognition and strumming technique by Beulah ARUL, Shashank PANDA, Tushar NAIR

“…Additionally, this model incorporates a velocity detection function for the strumming hand. Finally, the proposed system can play different sounds by inferring both the played chord and the strumming velocity from human actions. …”
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Blockchain framework with IoT device using federated learning for sustainable healthcare systems by B. Bhasker, P. Muralidhara Rao, P. Saraswathi, S. Gopal Krishna Patro, Javed Khan Bhutto, Saiful Islam, Mohammed Kareemullah, Addisu Frinjo Emma

“…Additionally, this paper presents the Intrusion Detection System (IDS) as a tool for healthcare network intrusion detection, allowing doctors to track patients’ vitals using medical sensors and anticipate when they could become sick so they can take preventative steps. …”
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A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models by Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr

“…We introduce a second GAN model with a novel loss function that significantly improves tumor detection accuracy. …”
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Photophysical Properties of 1,3-Diphenylisobenzofuran as a Sensitizer and Its Reaction with O₂ by Ștefan Stan, João P. Prates Ramalho, Alexandru Holca, Vasile Chiș

“…TD-DFT calculations have been performed using several density functionals and the 6-311+G(2d,p) basis set to calculate absorption/emission wavelengths, oscillator strengths, transition dipole moments, and radiative lifetimes. …”
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Optimization by Hydrogen Plasma Treatment of a-CH and Hydrogen/Nitrogen-Assisted a-CH Layers for SAW Sensors by Veronica Satulu, Mihai Paunica, Simona Brajnicov, Sorin Vizireanu, Gheorghe Dinescu, Bogdana Mitu, Cristian Viespe

“…Smooth films, with an AFM root mean square below 1.5 nm, were obtained in all cases, although slight topographical variations were noted, depending on the gas types. XPS detected varying degrees of oxidation, indicating that the assisting gases played a crucial role in introducing oxygen-containing functional groups, thus influencing the material’s surface chemistry and sensitivity response. …”
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The Predictive Capacity of the 3-Meter Backward Walk Test for Falls in Older Adults: A Case–Control Analysis by Luis Polo-Ferrero, Javier Torres-Alonso, María Carmen Sánchez-Sánchez, Ana Silvia Puente-González, Fausto J. Barbero-Iglesias, Roberto Méndez-Sánchez

“…<b>Background</b>: The early detection of fall risk in older adults is crucial for prevention. …”
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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

“…Using the initial controller Q-function and the one continuously actualized during learning, the stability of the switching mechanism in closed loop with the system is derived using the Multiple Lyapunov Functions (MLF) framework. …”
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Modern Concepts of Clinical and Diagnostic Criteria for Premature Ovarian Failure (Literature Review) by M. D. Salimova, Ya. G. Nadelyaeva, I. N. Danusevich

“…As a result of the analysis of the literature data, a step-by-step diagnosis of pathology was described, the main shortcomings of the main marker for assessing ovarian function – folliclestimulating hormone – were identified and listed. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…A neural network approach was used to filter the values obtained after a two-step algorithm. This problem arises in acoustics, electrodynamics, flaw detection, as well as in medical diagnostics. …”

Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…The two-step model achieved an accuracy of 0.88 and an F1-score of 0.86 on the testing data. …”
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Critical Factors in the Performance and Cost of Two-Dimensional Gene Scanning: RB1 as a Model by R.K. Dhanda, N.J. van Orsouw, I. Sigalas, C. Eng, J. Vijg

“…An overall picture of TDGS cost-performance, as compared to direct sequencing, is provided as a function of the number of target fragments.…”
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Spin signature of majorana fermions in topological nodal-point superconductors by Junjie Zeng, James Jun He, Zhen Ning, Dong-Hui Xu, Rui Wang

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Artificial intelligence powered crime scene analysis service by Vanita Kshirsagar, Nishant Pachpor, Shubhangi Suryawanshi, Tanvi Chavan, Navya J. Nair, Purvesh Agrawal, Tejas Shahane

“…The suggested novel web application aims to help forensic investigators streamline crime scene investigations by automating important portions of the procedure.The system has three main functions: • fingerprint reconstruction, • weapon detection, and • human activity recognition.Its easy-to-use interface allows officials to upload images or videos from the crime scene in order to assist in reconstructions and detections. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists. …”
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