LEADER 00690nam 2200265zu 450 001 9910917255903321 005 20241203190920.0 010 $a9780226749860 010 $a022674986X 035 $a(CKB)36718233600041 035 $a(EXLCZ)9936718233600041 100 $a20241203|2021uuuu || | 101 0 $aeng 135 $aur||||||||||| 200 10$aAutomatic Religion 210 $cUniversity of Chicago Press$d2021 311 08$a9780226749723 311 08$a022674972X 311 08$a9780226749693 311 08$a022674969X 700 $aJohnson$b Paul Christopher$01214908 906 $aBOOK 912 $a9910917255903321 996 $aAutomatic religion$93382056 997 $aUNINA LEADER 05067nam 22006975 450 001 996630865303316 005 20250204140720.0 010 $a9783031780493 010 $a3031780493 024 7 $a10.1007/978-3-031-78049-3 035 $a(MiAaPQ)EBC31806662 035 $a(Au-PeEL)EBL31806662 035 $a(CKB)36690505000041 035 $a(DE-He213)978-3-031-78049-3 035 $a(EXLCZ)9936690505000041 100 $a20241127d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Mobile Computing and Multimedia Intelligence $e22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2?4, 2024, Proceedings /$fedited by Pari Delir Haghighi, Solomiia Fedushko, Gabriele Kotsis, Ismail Khalil 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (223 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15341 311 08$a9783031780486 311 08$a3031780485 327 $a -- Wearable and Sensor-Based Data for Human Performance and Interaction. -- Investigating Choking Under Pressure in Dance Performance with Motion and Physiological Information Analysis. -- A method for Estimating the Force Applied on the forearm using PPG Sensors. -- Good Vibes! Towards Phone-to-User Authentication Through Wristwatch Vibrations. -- A Method for Embedding Information into Acceleration Data using Resonant Frequency Sound to Capacitive Accelerometers. -- Mobile User Experience, Motivation, and Behavior. -- MEUSec ? Method for Enhancing User Experience and Information Security. -- Correlation between gamification and intrinsic motivation with a mobile job-market application. -- Query by Trash: Encouraging Green Attitudes and Behavior through Eco-News Retrieval in Smart Trash Bins. -- Evaluating the Impact of Color and Sound Combinations on Cognitive Performance in Virtual Reality. -- Medical and Cognitive Health Applications. -- Mild Cognitive Impairment Prediction Using Facial and Speech Data. -- Comparing training of Sparse to Classic Neural Networks for Binary Classification in Medical Data. -- A Genetic Algorithm-Based Scheduling Method Considering Working Hours for Medical Doctors. -- Image, Video, and Multimedia Processing. -- Application of Benford's law to the identification of non-authentic digital images. -- Efficient moving object detection from Ultra-High Resolution omnidirectional video. -- Evaluation of the clustering method used to analyze the proximity of mobile devices using indirect geolocation indicators. -- Software and System Intelligence. -- Cross-Project Software Defect Prediction using Ensemble Model with Individual Data Balancing and Feature Selection. -- AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems. -- A Method for Eliminating False Positives of Acceleration-based Gesture Recognition Using Eye Tracking. -- Toward the Implementation of a Cooking Support System Complementing Nonexistent Objects with Virtual Objects. 330 $aThis book constitutes the refereed proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, during December 2?4, 2024. The 10 full papers and 8 short papers in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: wearable and sensor-based data for human performance and interaction; mobile user experience, motivation, and behavior; medical and cognitive health applications; image, video, and multimedia processing; software and system intelligence. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15341 606 $aApplication software 606 $aComputers 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aComputer and Information Systems Applications 606 $aComputing Milieux 606 $aComputer Engineering and Networks 606 $aArtificial Intelligence 615 0$aApplication software. 615 0$aComputers. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 14$aComputer and Information Systems Applications. 615 24$aComputing Milieux. 615 24$aComputer Engineering and Networks. 615 24$aArtificial Intelligence. 676 $a005.3 700 $aDelir Haghighi$b Pari$01448688 701 $aFedushko$b Solomiia$01771758 701 $aKotsis$b Gabriele$0848995 701 $aKhalil$b Ismail$01379892 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996630865303316 996 $aAdvances in Mobile Computing and Multimedia Intelligence$94309262 997 $aUNISA