/var/www/htdocs/pustaka-digital/lib/SearchEngine/SearchBiblioEngine.php:688 "Search Engine Debug 🔎 🪲"
Engine Type ⚙️: "SLiMS\SearchEngine\SearchBiblioEngine"
SQL ⚙️: array:2 [ "count" => "select count(sb.biblio_id) from search_biblio as sb where sb.opac_hide=0 and ((match (sb.topic) against (:subject in boolean mode)))" "query" => "select sb.biblio_id, sb.title, sb.author, sb.topic, sb.image, sb.isbn_issn, sb.publisher, sb.publish_place, sb.publish_year, sb.labels, sb.input_date, sb.edition, sb.collation, sb.series_title, sb.call_number from search_biblio as sb where sb.opac_hide=0 and ((match (sb.topic) against (:subject in boolean mode))) order by sb.last_update desc limit 10 offset 0" ]
Bind Value ⚒️: array:1 [ ":subject" => "'+\"Behavior recognition\"'" ]
Recent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on ‘Intelligent Computing for Big Data’ highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text mining, autism diagnosis, behaviour recognition, and blockchain-based storage.