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245 1 0 _aProceedings of the Future Technologies Conference (FTC) 2024, Volume 1
_h[electronic resource] /
_cedited by Kohei Arai.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 640 p. 250 illus., 210 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v1154
505 0 _aA Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams -- Cloud Versus Local: Performance Evaluation of Multi-Node Hadoop Clusters Using HiBench Benchmarks -- The Serial Data Processing Unit: High Performance with Parallelism in Network Processing -- Leveraging Artificial Intelligence Models Using Synthetic Data -- Tausi: A Holistic Artificial Intelligence Approach to Credit Scoring Using Informal Data for a Sustainable Micro-Lending African Economy -- Quickest Detection of Failures in Autoregressive Stochastic Systems in Short Periods -- Towards the Design of Explanation-aware Decision Support Systems -- AI to Detect Firms' Competitive Performance: An Application of Auto Contractive Map to the Hospitality Industry -- Sustainable Practices in AI and Big Data -- A Multi-Layered Approach to Evaluating Speech Translation Performance of Meetings.
520 _aThis book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK. This premier annual event highlights groundbreaking research in artificial intelligence, computer vision, data science, computing, ambient intelligence, and related fields. With 476 submissions, FTC 2024 gathers visionary minds to explore innovative solutions to today's most pressing challenges. The 173 selected papers represent cutting-edge advancements that foster vital conversations and future collaborations in the realm of information technologies. The authors extend their deepest gratitude to all contributors, reviewers, and participants for making FTC 2024 an unparalleled success. The authors hope this volume inspires and informs its readers, encouraging continued exploration and innovation in future technologies.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
650 2 4 _aControl, Robotics, Automation.
650 2 4 _aArtificial Intelligence.
700 1 _aArai, Kohei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031731099
776 0 8 _iPrinted edition:
_z9783031731112
830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v1154
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-73110-5
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