Wideband Remote-Sensing Based on Random Fiber Laser

Interrogating a remote passive-sensor with high fidelity is one of the biggest challenges in the sensing domain. Recently, random fiber laser (RFL) combined with remote fiber sensors was proposed f…

Deep Reinforcement Learning-Based Policy for Baseband Function Placement and …

In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. In order to explore the performance of the propo…

Access Frameworks and Application Scenarios for Hybrid VLC and RF Systems : S…

The further demand for data traffic growth makes the conventional radio frequency (RF) wireless network face ever increasing challenges such as spectrum shortage and access congestion. Visible ligh…

A 7D Cellular Neural Network Based OQAM-FBMC Encryption Scheme for Seven Core…

This paper proposes a 7-dimensional ( 7D ) Cellular Neural Network (CNN) based offset quadrature amplitude modulation filter bank multicarrier (OQAM-FBMC) encryption scheme for seven core fiber. Th…

U-Shape Panda Polarization-Maintaining Microfiber Sensor Coated with Graphene…

A new U-shape panda polarization-maintaining fiber (PPMF) based microfiber interferometer coated with graphene oxide (GO) film was proposed and experimentally demonstrated for relative humidity (RH…

Graphene-Based Plasmonic Absorber for Biosensing Applications Using Gold Spli…

We propose a novel graphene-based metasurface plasmonic biosensor. The gold split-ring resonator is used as a metasurface element in the biosensor. Split Ring Resonator structures are used to local…

Penanganan digital marketing Dinar 105 Catering dan Wedding Organizer

Pemiskinan bagi terpidana koruptor sebagai pidana tambahan dalam perkara korupsi

Korupsi merupakan suatu kejahatan yang luar biasa karena dampak yang ditimbulkan bersifat masif sampai menyinggung banyak aspek dan korbannya tidak hanya negara tetapi masyarakat juga. Korupsi se…

Deeply Supervised Discriminative Learning for Adversarial Defense

Deep neural networks can easily be fooled by an adversary with minuscule perturbations added to an input image. The existing defense techniques suffer greatly under white-box attack settings, where…

Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testi…

The multiobjective testing resource allocation problem (MOTRAP) is how to efficiently allocate the finite testing time to various modules, with the aim of optimizing system reliability, testing cos…