A Panoptic Segmentation for Indoor Environments using MaskDINO: An Experiment on the Impact of Contrast by Khalisha Putri, Ika Candradewi -

“…We then improved the model generalization on the various contrasts by re-optimizing it using a contrast-augmented dataset. …”
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Gaussian Process Regression and Machine Learning Methods for Carbon-Based Material Adsorption by Manar Ahmed Hamza, Maha M. Althobaiti, Fahd N. Al-Wesabi, Rana Alabdan, Hany Mahgoub, Anwer Mustafa Hilal, Abdelwahed Motwakel, Mesfer Al Duhayyim

“…Machine learning (ML) approaches were used to create generalized computation methods for tetracycline (TC) and sulfamethoxazole (SMX) adsorption in CBMs in this investigation. …”
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TCAD Simulation Study of Cylindrical Vertical Double-Surrounding-Gate a-InGaZnO FETs and Geometric Parameter Optimization by Yue Zhao, Lihua Xu, Chuanke Chen, Xufan Li, Kexin Shang, Di Geng, Lingfei Wang, Ling Li

“…Threshold control of amorphous In-Ga-Zn-O field-effect transistor (a-IGZO FET) is generally a critical issue through material composition adjustment. …”
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Systematic Review of Multidisciplinary Chronic Pain Treatment Facilities by Samantha R. Fashler, Lynn K. Cooper, Eric D. Oosenbrug, Lindsay C. Burns, Shima Razavi, Lauren Goldberg, Joel Katz

“…Availability of pain treatment facilities was scarce and the reported caseloads and wait times were generally high. A wide range of medical, physical, and psychological pain treatments were available. …”
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Sines, transient, noise neural modeling of piano notes by Riccardo Simionato, Stefano Fasciani

“…While the model is more computationally and memory efficient, perceptual tests reveal limitations in accurately modeling the attack phase of notes. Despite this, it generally achieves perceptual accuracy in emulating single notes and trichords.…”
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Telepresence Robots at the Urology and Emergency Department: A Pilot Study Assessing Patients’ and Healthcare Workers’ Satisfaction by Jens Laigaard, Trine Ungermann Fredskild, Grzegorz Lukasz Fojecki

“…Most patients (71%) “agreed” or “strongly agreed” that they were willing to be attended by a telepresence robot at future evaluations and generally, patients gave high satisfaction scores. …”
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Dwarf Galaxies in Voids: Dark Matter Halos and Gas Cooling by Matthias Hoeft, Stefan Gottlöber

“…Due to the cosmic ultraviolet background radiation low-mass haloes show generally a reduced baryon fraction. We determine the characteristic mass below which dwarf galaxies are baryon deficient. …”
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Hormonal Therapies for Acne: A Comprehensive Update for Dermatologists by Courtney A. Smith, Emily Gosnell, Turkan Banu Karatas, Chelsea Deitelzweig, Elizabeth M. B. Collins, Howa Yeung

“…Results Different brands and dosings of COC have generally similar efficacy in treating acne. Dermatologists should discuss contraceptive options and provide individualized shared decision-making with patients based on patient preferences, contraceptive needs, comorbidity profile, access, and cost. …”
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Combustion Rate of Solid Carbon in the Axisymmetric Stagnation Flowfield Established over a Sphere and/or a Flat Plate by Atsushi Makino, Masahiro Hojo, Masahito Shintomi

“…Carbon combustion in the forward stagnation flowfield has been examined through experimental comparisons, by conducting aerothermochemical analyses, with the surface C-O2 and C-CO2 reactions and the gas-phase CO-O2 reaction taken into account. By virtue of the generalized species-enthalpy coupling functions, close coupling of those reactions has been elucidated. …”
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Quality and content assessment of internet information on nasoalveolar molding by Merve Nur Eglenen, Can Arslan, Derya Germec Cakan

“…Conclusions Internet information on NAM was generally at a moderate to poor level in terms of quality and content. …”
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Architecture for Measuring Blade Tip Clearance and Time of Arrival with Multiple Sensors in Airplane Engines by José Miguel Gil-García, Joseba Zubia, Gerardo Aranguren

“…A flexible architecture to extract these parameters from the blades of a gas turbine has been developed. The generalization of this architecture is introduced which is able to deal with several sensors simultaneously. …”
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LIQUIDITY AND PERFORMANCE: EVIDENCE FROM THE DEPOSIT MONEY BANKS IN NIGERIA by Celestine Toluwa Oladele, Rihanat I Abdulkadir, Peters Ade Sanni

“…The analytical method employed to analyze the data was the System Generalized Method of Movement (GMM) estimator. The empirical results showed that among the proxies for liquidity (liquidity ratio, cash reserve ratio, loan to deposit ratio), only cash reserve ratio was significant and consistent on both dimensions of performance. …”
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An Atypical Case of Taravana Syndrome in a Breath-Hold Underwater Fishing Champion: A Case Report by Andrea Cortegiani, Grazia Foresta, Giustino Strano, Maria Teresa Strano, Francesca Montalto, Domenico Garbo, Santi Maurizio Raineri

“…The following morning, pain and neurological impairment occurred again and the diver went by himself to the hospital where he had a generalized tonic-clonic seizure and lost consciousness. …”
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Ferrography Wear Particles Image Recognition Based on Extreme Learning Machine by Qiong Li, Tingting Zhao, Lingchao Zhang, Wenhui Sun, Xi Zhao

“…Recently, extreme learning machine (ELM) for single-hidden-layer feedforward neural networks (SLFN) has been attracting attentions for its faster learning speed and better generalization performance than those of traditional gradient-based learning algorithms. …”
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Contraceptive Use among Basic School Pupils in Ghana: A Case Study of a Municipality by Fred Yao Gbagbo

“…Basic school pupils in Ghana are generally sexually active but have high unmet needs for modern contraception due to sociocultural barriers, stigma, and misconceptions. …”
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Cross-Layer Throughput Optimization in Cognitive Radio Networks with SINR Constraints by Miao Ma, Danny H. K. Tsang

“…Since the formulation is in the forms of mixed integer nonlinear programming (MINLP), which is generally a hard problem, we develop a heuristic method by solving a relaxation of the original problem, followed by rounding and simple local optimization. …”
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Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Shuang Ma

“…From rotor vibration fault diagnosis, the results demonstrate that the proposed method possesses high precision, good learning ability, good generalization ability, and strong fault-tolerant ability (robustness) in four aspects of distinguishing fault types, fault severity, fault location, and noise immunity of rotor stochastic vibration. …”
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Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples by Qi Zhu, Ning Yuan, Donghai Guan

“…., retrospective robust self-paced learning (R2SPL), which is inspired by the following two issues in human learning process: the misclassified samples are more impressive in upcoming learning, and the model of the follow-up learning process based on large number of samples can be used to reduce the risk of poor generalization in initial learning phase. We simultaneously estimated the degrees of learning-difficulty and misclassified in each step of SPL and proposed a framework to construct multilevel SPL for improving the robustness of the initial learning phase of SPL. …”
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Impact of Small-Scale Mining Activities on Physicochemical Properties of Soils in Dunkwa East Municipality of Ghana by Paul K. Essandoh, Mohammed Takase, Isaac Mbir Bryant

“…However, there were no statistically, significant differences (p < 0.05) observed in the concentrations of Cd, Hg, Pb, As, and Cu between the unmined and mined soils. Despite the generally poor (33.8%) soil quality in the study area, mining activities further reduced it by 24.2%. …”
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A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…Secondly, with the goal of improving accuracy, diversity, and generalization ability, the types of base learners as well as metalearners are determined, and the parameters of the base learners are optimized using the grey wolf optimization algorithm to produce the GWO-stacking model, and the experimental results from four datasets demonstrate that the model has high prediction accuracy. …”
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