An experimental analysis of mechanical properties for a dissimilar pattern structure in the 3-D printing of a PLA5F filament using the Taguchi method by Thamizh Selvan S, Mohandass M

“…Due to its tensile properties and impact strength resistance, these settings can be utilized in potential application in a wide variety of machine parts and vehicle components.…”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…These VIs, reflecting changes in canopy reflectance over time, were then analyzed using various machine learning models, including a pattern recognition neural network (PRNN). …”
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Key Technology of SSL Encrypted Application Identification Under Imbalance of Application Class by Xuejiao Chen, Pan Wang, Shidong3 Liu

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Blood from septic patients with necrotising soft tissue infection treated with hyperbaric oxygen reveal different gene expression patterns compared to standard treatment by Julie Vinkel, Alfonso Buil, Ole Hyldegaard

“…We aimed to identify gene expression patterns associated with effects of HBO2 treatment in patients with sepsis caused by NSTI, and to explore sepsis-NSTI profiles that are more receptive to HBO2 treatment. …”
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Comparative tribological and drainage performance of additively manufactured outsoles tread designs by Shuo Xu, Shuvodeep De, Meysam Khaleghian, Anahita Emami

“…Computer-aided design (CAD) software was used to create digital models of various tread patterns, and two different additive manufacturing (AM) techniques, fused filament fabrication (FFF) and stereolithography (SLA) printing, were used for three-dimensional (3D) print block samples with tread patterns, and the materials used were thermoplastic rubber (TPR) filament and photocurable elastomeric resin. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Data mining is an appropriate approach for uncovering information and hidden patterns within extensive datasets that are not readily detectable through conventional methodologies. …”
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Explaining the undecidability of first-order logic by Timm Lampert, Anderson Nakano

“…In contrast to Turing’s and the textbooks’ method to formalize Turing machines, our method does not rely on further axioms and allows us to transfer the straightforward insight that the halting problem cannot be solved through pattern detection to the case of the Entscheidungsproblem. …”
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A CNN-LSTM model for road surface recognition of electric balance vehicles by Feifei Yu, Yongxian Huang, Canyi Du, Feng Li, Yongkang Gong, Guoyan Chen

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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Tudor C. Radoni, Ebtesam A. Al-Suhaimi

“…Our review found that most of the efforts use portable, low-cost electronic noses, coupled with pattern recognition algorithms, for evaluating the quality levels in certain well-defined food classes, reaching accuracies exceeding 90% in most cases. …”
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Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation by J. Renan Velazquez-Gonzalez, Madain Perez-Patricio, J. A. de Jesus Osuna-Coutino, Jorge Luis Camas-Anzueto, Abiel Aguilar-Gonzalez, N. A. Morales-Navarro, Carlos A. Hernandez-Gutierrez

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Photo‐Thermal Approaches on Polyimide Film for Demonstration of Sub‐50 µm Polymer Stencil Mask by Bon‐Jae Koo, Jin‐Hyeong Lee, Hyo‐Kyung Kwon, Hwidon Lee, Joonsoo Jeong, Suk‐Kyun Ahn, Min‐Ho Seo

“…Abstract Stencil masks are widely utilized in traditional macro‐scale patterning due to their simplicity and versatility in enabling various types of patterns. …”
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An assessment of the long-term change of the Mersin west coastline using digital shoreline analysis system and detection of pattern similarity using fuzzy C-means clustering by Ozcan Zorlu, Lutfiye Kusak

“…To identify spatial patterns in shoreline change, the Fuzzy C-Means (FCM) clustering algorithm was applied using the NSM, SCE, EPR, and LRR metrics. …”
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Depletion of core microbiome forms the shared background against diverging dysbiosis patterns in Crohn’s disease and intestinal tuberculosis: insights from an integrated multi-coho... by Aditya Bajaj, Manasvini Markandey, Amit Samal, Sourav Goswami, Sudheer K. Vuyyuru, Srikant Mohta, Bhaskar Kante, Peeyush Kumar, Govind Makharia, Saurabh Kedia, Tarini Shankar Ghosh, Vineet Ahuja

“…Results Both diseases witness similar patterns of alterations in [alpha]-diversity, characterized by a significant reduction in gut bacterial (i.e., bacterial/archaeal) diversity and a concomitant increase in the fungal [alpha]-diversity. …”
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ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering by Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani

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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

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Research on feature extraction and intelligent diagnosis method of reciprocating compressor bearing clearance fault by Feng Yan

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Recognition of Acoustic Signals of Loaded Synchronous Motor Using FFT, MSAF-5 and LSVM by Adam GLOWACZ

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Ukrainian Folk Ornaments in Modern Knitting by Liudmyla Melnyk, Olena Kyzymchuk, Liudmyla Zubkova

“…However, the use of a knitting machine allows creating a pattern during the item production. …”
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Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought by Karina J. Maciejewska

“…IntroductionThis paper describes an experimental work using machine learning (ML) as a “decoding for interpretation” to understand the brain’s physiology better.MethodsMultivariate pattern analysis (MVPA) was used to decode the patterns of event-related potentials (ERPs, brain responses to stimuli) in a visual oddball task. …”
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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

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