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Titlebook: Advances in Machine Learning and Signal Processing; Proceedings of MALSI Ping Jack Soh,Wai Lok Woo,Mohd Shakir Saat Conference proceedings

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51#
發(fā)表于 2025-3-30 11:12:59 | 只看該作者
52#
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53#
發(fā)表于 2025-3-30 17:59:15 | 只看該作者
54#
發(fā)表于 2025-3-30 23:27:52 | 只看該作者
Glucose Control: Input and Output,lization can be done in the (TF) domain, where location features extracted using microphone arrays are used to cluster the TF bins corresponding to the same source. The TF clustering approaches provide an alternative to the Bayesian tracking approaches that are based on Kalman and particle filters.
55#
發(fā)表于 2025-3-31 03:45:01 | 只看該作者
Closed-Loop Control of Blood Glucosey flight behavior of some birds and fruit flies. Its shows good performance when applied to various domains in continuous and discrete search space. This study presents a cuckoo search algorithm for capacitated vehicle routing problem; its parameter optimized using Taguchi method. The comparison res
56#
發(fā)表于 2025-3-31 08:42:55 | 只看該作者
57#
發(fā)表于 2025-3-31 10:17:15 | 只看該作者
,Die 22 besten Abschlüsse der Welt,y measure is important especially when we have large low-level features to represent each image in the database. This paper presents the performance of various geometric distance measures for retrieval of images from a coral reefs database that consists of three groups of coral. Based on the results
58#
發(fā)表于 2025-3-31 15:14:04 | 只看該作者
https://doi.org/10.1007/978-3-319-20660-8uction quality of the non-key frames is proposed. After a sequence of frames has been encoded using Block Compressive Sensing (BCS) and transmitted to the host workstation, some SI is produced by first aligning the key frames to the non-key frames. The aligned frames are then fused together using Wa
59#
發(fā)表于 2025-3-31 20:06:14 | 只看該作者
https://doi.org/10.1007/978-3-319-20660-8ncreased to overcome the transmitter maximum peak power limitations. However, pulse compression is accompanied with time sidelobes that can mask the small targets. The Wavelet Neural Network (WNN) is a new technique used for pulse compression sidelobe reduction. In this paper, Morlet function is app
60#
發(fā)表于 2025-3-31 22:51:09 | 只看該作者
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