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Titlebook: Handbook of Nanosensors; Materials and Techno Gomaa A. M. Ali,Kwok Feng Chong,Abdel Salam H. Mak Living reference work 20240th edition sen

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11#
發(fā)表于 2025-3-23 12:06:45 | 只看該作者
Chitosan and Its Applications as a Sensing Material,tible, non-toxic, and biodegradable polysaccharide used in several industrial sectors, including water treatment, pharmaceuticals, food, and medicine. Accordingly, this chapter is concerned with chitosan structure, properties, activities, production, and sensing applications.
12#
發(fā)表于 2025-3-23 16:43:55 | 只看該作者
Radiation Sensors,etry of ionized beams must be effectively addressed. This chapter discusses radiation sensors and their potential applications in industry, cancer treatment, nuclear sciences, and high-energy physics.
13#
發(fā)表于 2025-3-23 20:23:17 | 只看該作者
14#
發(fā)表于 2025-3-23 23:33:14 | 只看該作者
Muhammad Sheraz Ahmad,Ching-Lung Chen,Yu-Jen Shihtzten nicht 74, sondern über 90 Krankengeschichten umfassen. Die Auslassung dieser F?lle aber beeintr?chtigt unsere Schlu?folgerungen deshalb nicht im mindesten, weil dadurch unsere Resultate in keiner Weise ge?ndert, ja vielmehr noch durchaus in unserem Sinne verschoben würden .).
15#
發(fā)表于 2025-3-24 04:07:56 | 只看該作者
Preparation of Nanomaterials-Based Sensors,s sensors. Several methods for growing nanoparticles directly on electrodes and the synthesis of nanomaterials followed by possible approaches to immobilize electrodes were also discussed. These approaches could be applied in electrochemical sensors and biosensors.
16#
發(fā)表于 2025-3-24 07:14:25 | 只看該作者
Biodegradable Materials-Based Sensors,ng mechanisms. It also examines the potential applications of biodegradable materials-based biosensors, including environmental monitoring, medical diagnostics, and food safety testing. Finally, this chapter identifies the challenges that need to be addressed in the development of biodegradable materials-based biosensors.
17#
發(fā)表于 2025-3-24 14:29:47 | 只看該作者
Signals Estimation of Force Sensor Attached at Manipulator End-Effector Based on Artificial Neural n stages of the developed MLFFNN. The MLFFNN training happens by the algorithm of Levenberg-Marquardt, and its best performance is obtained considering very small mean squared error (MSE) and training errors. The results reveal that the trained NN efficiently estimates the force sensor signals and the external joint torques, correctly.
18#
發(fā)表于 2025-3-24 15:29:22 | 只看該作者
19#
發(fā)表于 2025-3-24 22:59:27 | 只看該作者
20#
發(fā)表于 2025-3-25 02:19:54 | 只看該作者
Noorhashimah Mohamad Nor,Nurul Hidayah Ramli,Nor Dyana Zakaria,Asyraf Hakimi Abu Bakar,Khairunisak A([4], p. 107). Auch andere, unbestimmte Fehlerquellen treten auf. So hat z. B. der Barograph in Greenwich von 1856–65 systematisch um einige Prozent zu kleine Werte für die halbt?gige solare Schwankung geliefert, was F. J. W. Whipple ([9], p. 280) auf instrumentelle Reibung zurückführt. Noch merkwür
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