傳感器審查發(fā)布同行審查的最新文章和專門委托技術(shù)審查。每個問題都包括高質(zhì)量的內(nèi)容，涵蓋傳感器開發(fā)和應(yīng)用的各個方面，并反映出世界各地最有趣和最具戰(zhàn)略意義的研究和開發(fā)活動。因此，讀者可以站在高科技傳感器發(fā)展的最前沿。重點放在詳細的獨立審查文章上，這些文章確定了目前可用于特定應(yīng)用的全系列傳感器，并強調(diào)了那些顯示出未來巨大潛力的技術(shù)領(lǐng)域。所有的文章都經(jīng)過嚴格的雙盲同行評審，而期刊不發(fā)表僅在模擬中測試過的工作的政策意味著只包括最優(yōu)秀和最實用的研究文章。這就確保了所發(fā)表的材料對商業(yè)制造和研究機構(gòu)具有真正的相關(guān)性和價值。有關(guān)我們的審查委員會的完整列表，請參閱以下內(nèi)容。傳感器審查的范圍包括但不限于：納米傳感器能量采集環(huán)境傳感器無線傳感器網(wǎng)絡(luò)定位和導航光纖傳感器機器視覺可視化導航太赫茲成像技術(shù)超聲波學渦流感應(yīng)焊縫檢查和跟蹤觸覺裝置氣體和化學傳感器三維成像聚合物傳感器微機電傳感器生物傳感器試驗和檢驗汽車傳感器傳感器數(shù)據(jù)融合與信號處理

Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue includes high quality content covering all aspects of sensor development and application, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments.Emphasis is placed on detailed independent review articles that identify the full range of sensors currently available for specific applications, as well as highlighting those areas of technology that show great potential for the future.All articles undergo rigorous double-blind peer review, and the journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. For a full list of our review board, please see below.Sensor Review’s coverage includes, but is not restricted to:NanosensorsEnergy harvestingEnvironmental sensorsWireless sensor networksLocalization and navigationFibre optic sensorsMachine visionVisual navigationTerahertz imagingUltrasonicsEddy current sensingWeld inspection and trackingHaptic devicesGas and chemical sensors3D imagingPolymer sensorsMEMS sensorsBiosensorsTest and inspectionAutomotive sensorsSensor data fusion and signal processing