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Design of Parallel-T Resistance–Capacitance Networks For Maximum Selectivity–capacitance network. The maximum value of .. obtainable by a suitable choice of elements is shown to be .. A design procedure for approaching this maximum value is given.An expression for the selectivity, .., of an amplifier using a general parallel-T resistance–capacitance network in the negativeEngaged 发表于 2025-3-25 17:42:26
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Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomesmately 80% of patients having a 10-year survival period. Given the serious that impact breast cancer treatments can have on a patient’s body image, consequently affecting her self-confidence and sexual and intimate relationships, it is paramount to ensure that women receive the treatment that optimiCholecystokinin 发表于 2025-3-26 02:09:34
Die Binomialverteilung und die Multinomialverteilung,in unabhängigen und gleichartigen Experimenten auf.Eine Zufallsvariable mit der Binomialverteilung . zählt die Zahl der Treffer in einer Bernoulli-Kette der Länge . mit Trefferwahrscheinlichkeit .. Die Multinomialverteilung ist die gemeinsame Verteilung von Trefferanzahlen, wenn . unabhängige gleich不舒服 发表于 2025-3-26 07:09:48
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Section C Structures - Seismic Behavior of Batter-Pile Foundation Based on Centrifuge Tests Through a comparison of the acceleration and displacement response of the footing, as well as the bending and axial strain of the piles for the two pile foundations, the seismic behavior of the batter-pile foundation was experimentally investigated.多节 发表于 2025-3-26 13:53:24
Book 2019ice, Italy and Bialystok University of Technology, Poland. Reflect the symposium’s sessions, the book discusses topics such as biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks and security systems..DEFER 发表于 2025-3-26 17:13:01
Explainable Artificial Intelligence Based Heat Recycler Fault Detection in Air Handling Unite early diagnosis of such faults for its economic and functional efficiency. The machine learning models, Support Vector Machine and Neural Networks have been used for the diagnosis of the fault and explainable artificial intelligence has been used to explain the models’ behaviour.