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| 1 | Endocrine factors in the etiology of postpartum depression显示文摘 | BLOCHA M DALYA R C DAVID R | 2003 | Comprehensive Psychiatry2003，44，： | 1 |
| 2 | Recognising gestational trophoblastic disease显示文摘 | Dalya Alhamdan Tommaso Bignardi George Condous | 2009 | Best Practice & Research Clinical Obstetrics & Gynaecology2009，，4： | 1 |
| 3 | Endocrine factors in the etiology of postpartum depression 显示文摘 | Blocha M Dalya RC Davic R | 2003 | Comprehensive Psychiatry2003，44，： | 1 |
| 4 | A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries显示文摘 | THORSEN O V DALYA M | 1995 | IEEE Transactions on Industry Application1995，31，5： | 1 |
| 5 | Endocrine factors in the etiology of postpartum depression 显示文摘 | Blocha M Dalya RC David R | 2003 | Comprehensive Psychiatry2003，44，3： | 1 |
| 6 | Measles Surveillance in the United States:An overview显示文摘 | Dalya G Harpaz R Redd SB | 2004 | J Infect Dis2004，1891，： | 1 |
| 7 | 石头里的“自拍”显示文摘12世纪时,一些默默无闻的石匠在加利西亚的圣地亚哥-德孔波斯特拉古城修建了举世闻名的大教堂。约900年后的今日,英国艺术学者詹妮弗。亚历山大发现了教堂中雕刻着落叶的柱子,而落叶后掩映着一位调皮石匠的“自拍”。He is a a male figure carved in the early 12th century for one of the world,s greatest cathedrals(教堂).but no one has known of his existence until now.His figure has gone unnoticed by millions of people who have made the long pilgrimage(朝圣之旅)to Santiago de Compostela in Galicia over the centuries.He has looked down on them from the top of one of the many pillars that soar upwards,each carved with fallen leaves,among which he is concealed. | Dalya Alberge | 2021 | 疯狂英语(新悦读)2021，，4： | 0 |
| 8 | 鼻嗅盗版,犬立奇功显示文摘受训探测DVD塑料的警犬堪称警方打击盗版DVD行动的先锋。目前盗版影碟活动猖獗,交易额高达两亿英镑。 | Dalya Alberge 秦毅忠(译注) | 2011 | 英语世界2011，，1： | 0 |
| 9 | Continuous Mobile User Authentication Using a Hybrid CNN-Bi-LSTM Approach显示文摘Internet of Things (IoT) devices incorporate a large amount ofdata in several fields, including those of medicine, business, and engineering.User authentication is paramount in the IoT era to assure connecteddevices’ security. However, traditional authentication methods and conventionalbiometrics-based authentication approaches such as face recognition,fingerprints, and password are vulnerable to various attacks, including smudgeattacks, heat attacks, and shoulder surfing attacks. Behavioral biometrics isintroduced by the powerful sensing capabilities of IoT devices such as smartwearables and smartphones, enabling continuous authentication. ArtificialIntelligence (AI)-based approaches introduce a bright future in refining largeamounts of homogeneous biometric data to provide innovative user authenticationsolutions. This paper presents a new continuous passive authenticationapproach capable of learning the signatures of IoT users utilizing smartphonesensors such as a gyroscope, magnetometer, and accelerometer to recognizeusers by their physical activities. This approach integrates the convolutionalneural network (CNN) and recurrent neural network (RNN) models to learnsignatures of human activities from different users. A series of experiments areconducted using the MotionSense dataset to validate the effectiveness of theproposed method. Our technique offers a competitive verification accuracyequal to 98.4%.We compared the proposed method with several conventionalmachine learning and CNN models and found that our proposed modelachieves higher identification accuracy than the recently developed verificationsystems. The high accuracy achieved by the proposed method proves itseffectiveness in recognizing IoT users passively through their physical activitypatterns. | Sarah Alzahrani Joud Alderaan Dalya Alatawi Bandar Alotaibi | 2023 | Computers, Materials & Continua2023，，4： | 0 |
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