Automatic modulation classification (AMC) based on deep learning (DL) is gaining increasing attention in dynamic spectrum access for 5G/6G wireless communications.However, inconsistent feature parameters between the training (source) and testing (target) data lead to performance degradation or even failure of existing DL-based AMC.The primary reaso
Automatic Modulation Classification for Adaptive OFDM Systems Using Convolutional Neural Networks With Residual Learning
Automatic modulation classification (AMC) is becoming a Sex Dolls promising technique for future adaptive wireless transceiver systems.The existing blind modulation classification (BMC) methods for orthogonal frequency division multiplexing (OFDM) fail to achieve the required performance by using statistical-based methods.Thus, the modulation class
Evaluasi Status Keberlanjutan Budidaya Rumput Laut Di Kecamatan Pasikolaga Kabupaten Muna (Pendekatan Rapfish- Multi Dimensional Scaling)
Produksi rumput laut tertinggi Kabupaten Muna berlokasi di Kecamatan Pasikolaga, mayoritas masyarakat bekerja sebagai pembudidaya rumput laut, maka dalam menjaga mata pencaharian masyarakat setempat, diperlukan pemahaman Tilt Trucks tentang aspek keberlanjutan.Penelitian ini bertujuan untuk menganalisis status keberlanjutan budidaya rumput laut mel