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Showing results 1 to 20 of 76  next >
Issue DateTitleAuthor(s)
24-Nov-2022Accounting and Auditing with Blockchain Technology and Artificial Intelligence: A Literature ReviewHan, H; Shiwakoti, RK; Jarvis, R; Mordi, C; Botchie, D
12-Dec-2021Accuracy and Explainability in Artificial Intelligence: Unpacking the TermsMcGrath, K
12-Nov-2021Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the USRoberts, H; Cowls, J; Hine, E; Mazzi, F; Tsamados, A; Taddeo, M; Floridi, L
21-Dec-2022AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusionWu, P; Wang, Z; Zheng, B; Li, H; Alsaadi, FE; Zeng, N
26-Oct-2019An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and MonitoringAmini, A; Kanfound, J; Gan, T-H
2024AI Gender Biases in Women’s Healthcare: Perspectives from the UK and the European Legal SpaceLau, PL
15-Aug-2020AI-assisted inventions in the field of drug discovery: readjusting the inventive step analysisGurgula, O
17-Nov-2022AI-assisted optimization of the ECCE tracking system at the Electron Ion ColliderFanelli, C; Papandreou, Z; Suresh, K; Adkins, JK; Akiba, Y; Albataineh, A; Amaryan, M; Arsene, IC; Gayoso, CA; Bae, J; Bai, X; Røed, K; Steinberg, P; Glazier, D; Paganis, S; Perepelitsa, DV; Schwarz, C; Pate, SF; Patel, M; Paus, C; Zhang, Y; Lawrence, D; He, X; Penman, G; Boeglin, W; Perdekamp, MG; Reed, R; Stepanov, P; Reinhold, J; Weinstein, L; Glimos, E; Renner, EL; Camacho, CM; Livingston, K; Kim, B; Watts, DP; David, G; Brash, E; Richards, J; Riedl, C; Rinn, T; Roche, J; Schwiening, J; Velkovska, J; Stevens, J; Ryu, J; Roland, GM; Ron, G; Goto, Y; Rosati, M; Dean, CT; Royon, C; Bueltmann, S; Kim, M; Iwata, T; Seidl, R; Pybus, JR; Raue, B; Mkrtchyan, A; Sickles, A; Briscoe, WJ; Grau, N; Simmerling, P; Sirca, S; Sharma, D; Kim, A; Shi, Z; Shibata, T-A; Sun, P; Zhao, Y-X; Bellwied, R; Williams, M; Smith, K; Shih, C-W; Shimizu, S; Kim, Y; Long, E; Shrestha, U; Greene, SV; Slifer, K; Wood, L; Zheng, X; Sun, X; Lin, C-H; Tadevosyan, V; Mkrtchyan, A; Pinkenburg, C; Jo, HS; Purschke, ML; Tang, W-C; Araya, ST; Kistenev, E; Tarafdar, S; Zhuang, P; Teodorescu, L; Thomas, D; Lin, DX; Timmins, A; Joo, K; Tomasek, L; Wood, MH; Diehl, S; Monaghan, P; Bukhari, MHS; van Hecke, HW; Cheon, Y; Trotta, N; Trotta, R; Tveter, TS; Kalantarians, N; Nagle, J; Umaka, E; Klimenko, V; Usman, A; Capobianco, R; Doshita, N; Woody, C; Haggerty, J; Montgomery, R; Wyslouch, B; Sarsour, M; da Costa, HP; Guo, L; Liu, K; Korover, I; Xiao, Z; Yamazaki, Y; Yang, Y; Ye, Z; Chen, K; Dupré, R; Chang, W-C; Yoo, HD; Yurov, M; Morrison, D; Zachariou, N; Liu, MX; Zajc, WA; Kuhn, S; Phelps, W; Chen, K-F; Wickramaarachchi, N; Wong, C-P; Strakovsky, II; Cheng, K-Y; Korsch, W; Movsisyan, A; Chiu, M; Chujo, T; Citron, Z; Cline, E; Cohen, E; Dzhygadlo, R; Kalicy, G; Kim, C; Hayward, T; Crawford, C; Cormier, T; Morales, YC; Piasetzky, E; Cotton, C; Mkrtchyan, H; Crafts, J; Hen, O; Kawade, K; Ehlers, R; Salur, S; El Fassi, L; Brooks, M; Bylinkin, A; Wang, Y; Emmert, A; Ent, R; Prochazka, I; Fatemi, R; Kay, SJD; Fegan, S; Finger, M; Brindza, P; Finger, M; Frantz, J; Higinbotham, DW; Liyanage, N; Sokhan, D; Kuo, C-M; Geurts, F; Lebedev, S; Friedman, M; Friscic, I; Gangadharan, D; Strube, J; Gardner, S; Protzman, T; Gates, K; Lajoie, J; Llope, WJ; Hoballah, M; Murray, M; Soltz, R; Horn, T; Van Hulse, C; Bernauer, JC; Santiesteban, N; Borysova, M; Hoghmrtsyan, A; Hsu, P-HJ; Huang, J; Huber, G; Lee, H; Loizides, C; Hutson, A; Hwang, KY; Sondheim, W; Hyde, CE; Santos, R; Inaba, M; Rajput-Ghoshal, R; Voutier, E; Lee, JSH; Ha, SK; Demarteau, M; Bashkanov, M; Putschke, J; Song, J; Lee, SW; Lee, Y-J; Li, W; Li, WB; Li, X; Lu, R-S; Peters, K; Nagai, K; Lim, S; Li, X; Li, X; Wang, PK; Li, X; Song, J; Liang, YT; Nakagawa, I; Benmokhtar, F; Zha, W; Lu, Z; Krintiras, G; Kutz, T; Guo, AQ; Lynch, W; Mantry, S; Wang, Q; Marchand, D; Marcisovsky, M; Markert, C; Baker, MD; Markowitz, P; Marukyan, H; Nattrass, C; Schambach, J; Creekmore, S; Rasson, J; Miyachi, Y; McGaughey, P; Mihovilovic, M; Berdnikov, V; Durham, JM; Milner, RG; Wang, Y; Milov, A; Read, KF; Schmidt, A; Nguyen, D; Cuevas, C; Niccolai, S; Gilman, R; Kim, Y; Zhang, J-L; Ko, SH; Nouicer, R; Nukazuka, G; Bock, F; Nycz, M; Schmidt, N; Okorokov, VA; Orešić, S; Cunningham, J; Osborn, JD; Zhang, J-X; O’Shaughnessy, C
5-Jul-2022Aircraft Engines Remaining Useful Life Prediction Based on A Hybrid Model of Autoencoder and Deep Belief NetworkAL-Khazraji, H; Nasser, AR; Hasan, AM; Al Mhdawi, AK; Al-Raweshidy, H; Humaidi, AJ
2023Anomaly detection for IoT networks using machine learningAbdulla, Husain
18-May-2021Apropos of Signal ProcessingNandi, AK
16-Dec-2019Artificial Intelligence and Machine Learning as business tools: a framework for diagnosing value destruction potentialCanhoto, AI; Clear, F
13-Sep-2020Artificial Intelligence and the Future of Practical Wisdom in Business ManagementClegg, S; Berti, M; Simpson, AV; Cunha, MPe
5-Oct-2021Artificial intelligence in the construction industry: A review of present status, opportunities and future challengesAbioye, SO; Oyedele, LO; Akanbi, L; Ajayi, A; Davila Delgado, JM; Bilal, M; Akinade, OO; Ahmed, A
1-Sep-2020Artificial intelligence-assisted loop mediated isothermal amplification (AI-LAMP) for rapid detection of SARS-CoV-2Rohaim, MA; Clayton, E; Sahin, I; Vilela, J; Khalifa, ME; Al-Natour, MQ; Bayoumi, M; Poirier, AC; Branavan, M; Tharmakulasingam, M; Chaudhry, NS; Sodi, R; Brown, A; Burkhart, P; Hacking, W; Botham, J; Boyce, J; Wilkinson, H; Williams, C; Whittingham-Dowd, J; Shaw, E; Hodges, M; Butler, L; Bates, MD; Ragione, RL; Balachandran, W; Fernando, A; Munir, M
26-Aug-2021An Artificial Intelligence-Assisted Portable Low-Cost Device for the Rapid Detection of SARS-CoV-2Tharmakulasingam, M; Chaudhry, NS; Fernando, A; Branavan, M; Balachandran, W; Poirier, AC; Rohaim, MA; Munir, M; La Ragione, RM
1997Can Deep Blue™ make us happy? Reflections on human and artificial expertiseGobet, F
2018Cheating Education and the Insertion of KnowledgeAldridge, D
16-Aug-2019Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeastCoutant, A; Roper, K; Trejo-Banos, D; Bouthinon, D; Carpenter, M; Grzebyta, J; Santini, G; Soldano, H; Elati, M; Ramon, J; Rouveirol, C; Soldatova, LN; King, RD
3-Feb-2021Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) ModelDanishvar, M; Danishvar, S; Souza, F; Sousa, P; Mousavi, A
Showing results 1 to 20 of 76  next >