Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…Finally, we infer plausible parameters for the model, thereby predicting the relative probability of various evolutionary events. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Machine Learning algorithms are widely used in various fields due to their strong capability to extract and display high-level features of training samples. …”
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Homogenization of Heterogeneous Tissue Scaffold: A Comparison of Mechanics, Asymptotic Homogenization, and Finite Element Approach by Z. Fang, C. Yan, W. Sun, A. Shokoufandeh, W. Regli

“…Actual prediction of the effective mechanical properties of tissue scaffolds is very important for tissue engineering applications. …”
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Seismic Vibration Control and Multi-Objective Optimization of Transmission Tower with Tuned Mass Damper Under Near-Fault Pulse-like Ground Motions by Ying Lin, Tao Liu

“…Based on the obtained analysis results, artificial neural network (ANN) is trained to predict the vibration reduction ratios of peak responses and the corresponding vibration reduction cost. …”
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The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma by Fuqing Chen, Yifan Cai, Xiangmei Chen, Changzhou Chen, Qinliang Fang, Jianming Liu, Yibin Zhang, Jianyin Zhou

“…The prediction model based on HSCRGs was established by LASSO, univariate and multivariate COX regression analysis. …”
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Human-Annotated Label Noise and Their Impact on ConvNets for Remote Sensing Image Scene Classification by Longkang Peng, Tao Wei, Xuehong Chen, Xiaobei Chen, Rui Sun, Luoma Wan, Jin Chen, Xiaolin Zhu

“…We found that 1) human-annotated label noise exhibits significant class and instance dependence; 2) an additional 1% of human-annotated label noise in training data leads to a 0.5% reduction in the overall accuracy of ConvNets classification; and 3) the error pattern of ConvNet predictions was strongly correlated with that of participant's labels. …”
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Comparison of proposed National Institute of Child Health and Human Development panel recommendations with newborn sepsis risk calculator in term neonates exposed to maternal chori... by Arpit Gupta, Julia Youssef, Nidhi Arora, Emad Ghaly, Alexander Shilkrut

“…The National Institute of Child Health and Human Development (NICHD) workshop on MC has proposed a risk assessment algorithm. The objective of the study was to compare the reduction in antibiotic use in newborns treated with SRC and NICHD algorithm and determine the antibiotic use correlation between them. …”
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Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Sarra Zaidi, Z.M.S. Elbarbary, Mohammed M. Alammer

“…By incorporating type-reduction and interval type-2 fuzzy logic principles, the T2FLC enhances robustness, precision, and adaptability to rapidly changing irradiance and temperature levels. …”
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LightGBM hybrid model based DEM correction for forested areas. by Qinghua Li, Dong Wang, Fengying Liu, Jiachen Yu, Zheng Jia

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”
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Impact of monitor unit optimization in volumetric modulated arc therapy planning for nasopharyngeal carcinoma. by Huaqu Zeng, Zhen Li, Zongyou Chen, Shukui Tang, Qifu Lin, Minzhi Zhong, Zunbei Wen

“…Dual-arc VMAT plan were designed using photon optimization algorithms without the monitor unit objective (MUO) tool, denoted as the base plan. …”
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Single-cell multiomics reveals simvastatin inhibits pan-cancer epithelial-mesenchymal transition via the MEK/ERK pathway in XBP1+ mast cells by Sen Lin, Huimin Zhang, Ruiqi Zhao, Zhulin Wu, Weiqing Zhang, Mengjiao Yu, Bei Zhang, Lanyue Ma, Danfei Li, Lisheng Peng, Weijun Luo

“…A prognostic model was established using WGCNA and 12 machine learning algorithms to identify potential mast cell targets. …”
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Evaluation of the Characteristics of Short Acquisition Times Using the Clear Adaptive Low-Noise Method and Advanced Intelligent Clear-IQ Engine by Ryosuke Ogasawara, Akiko Irikawa, Yuya Watanabe, Tomoya Harada, Shota Hosokawa, Kazuya Koyama, Keisuke Tsuda, Toru Kimura, Koichi Okuda, Yasuyuki Takahashi

“…While OSEM with TOF reconstruction did not significantly reduce the acquisition time, the addition of PSF correction suggested the potential for further reduction. Given that the AiCE characteristics may vary depending on the equipment used, further investigation is required.…”
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An FPGA Prototype for Parkinson’s Disease Detection Using Machine Learning on Voice Signal by Mujeev Khan, Abdul Moiz, Gani Nawaz Khan, Mohd Wajid, Mohammed Usman, Jabir Ali

“…Parkinson’s disease (PD) is a chronic neurological disorder caused by a reduction in dopamine levels in the brain. Early diagnosis is crucial for effective treatment. …”
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Comparison of Surface Current Measurement Between Compact and Square-Array Ocean Radar by Yu-Hsuan Huang, Chia-Yan Cheng

“…In Taiwan, the Taiwan Ocean Research Institute (TORI) has established a data quality management mechanism based on international standards for data filtering, noise reduction, and outlier detection, improving the accuracy and stability of radar-derived velocity measurements.To eliminate the effects caused by different center frequencies between MABT and KNTN, this study used the same algorithms and parameter settings as much as possible in all steps, from Doppler spectra processing to radial velocity calculation, ensuring the comparability of the data. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Abstract Quantum computers provide considerable potential to enhance computing technology, anticipated to surpass conventional computers by resolving intricate challenges that existing systems cannot tackle. They use quantum algorithms for improved performance and depend on reversible computations based on quantum physics and linear algebra. …”
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INTEGRATED GRAPH-BASED TESTING PIPELINE FOR MODERN SINGLE-PAGE APPLICATIONS by Nataliia Golian, Varvara Tisheninova

“…Empirical evaluation on two large-scale SPAs demonstrates a 40 % reduction in manual test authoring effort and a 25 % increase in overall coverage metrics compared to traditional approaches.…”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Human skeletons, derived from depth sensors or pose estimation algorithms, offer an alternative for facial expression, including valuable spatial and temporal cues. …”
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Architecture and Field Operation of a Portable Digital Holographic Microscope for In Situ Measurements of Bacterial Motility by J. Kent Wallace, Manuel Bedrossian, Stephanie Rider, Dylan McKeithen, Felipe Fregoso, Frank Loya, Scott M. Perl

“…Future developments of this platform will focus on refining data reduction algorithms and operational methodologies for Earth-based and space-based applications.…”
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Application of artificial intelligence techniques for the profiling of visitors to tourist destinations by Juan Schrader, Lloy Pinedo, Franz Vargas, Karla Martell, José Seijas-Díaz, Roger Rengifo-Amasifen, Rosa Cueto-Orbe, Cinthya Torres-Silva

“…The data were processed using the clustering algorithms K-Means, DBSCAN, HDBSCAN, and Agglomerative, with Principal Component Analysis applied beforehand for dimensionality reduction. …”
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Half-life measurements of 212Po with thorium-loaded liquid scintillator by P. Belli, R. Bernabei, R. S. Boiko, F. A. Danevich, A. Di Marco, A. Incicchitti, D. V. Kasperovych, F. Cappella, V. Caracciolo, V. V. Kobychev, O. G. Polischuk, N. V. Sokur, V. I. Tretyak, R. Cerulli

“…The experiment is in progress aiming at reduction of the statistical and systematic uncertainties.…”
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