/*! SerializeJSON jQuery plugin. https://github.com/marioizquierdo/jquery.serializeJSON version 3.2.0 (Dec, 2020) Copyright (c) 2012-2021 Mario Izquierdo Dual licensed under the MIT (http://www.opensource.org/licenses/mit-license.php) and GPL (http://www.opensource.org/licenses/gpl-license.php) licenses. */ (function (factory) { /* global define, require, module */ if (typeof define === "function" && define.amd) { // AMD. Register as an anonymous module. define(["jquery"], factory); } else if (typeof exports === "object") { // Node/CommonJS var jQuery = require("jquery"); module.exports = factory(jQuery); } else { // Browser globals (zepto supported) factory(window.jQuery || window.Zepto || window.$); // Zepto supported on browsers as well } }(function ($) { "use strict"; var rCRLF = /\r?\n/g; var rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i; var rsubmittable = /^(?:input|select|textarea|keygen)/i; var rcheckableType = /^(?:checkbox|radio)$/i; $.fn.serializeJSON = function (options) { var f = $.serializeJSON; var $form = this; // NOTE: the set of matched elements is most likely a form, but it could also be a group of inputs var opts = f.setupOpts(options); // validate options and apply defaults var typeFunctions = $.extend({}, opts.defaultTypes, opts.customTypes); // Make a list with {name, value, el} for each input element var serializedArray = f.serializeArray($form, opts); // Convert the serializedArray into a serializedObject with nested keys var serializedObject = {}; $.each(serializedArray, function (_i, obj) { var nameSansType = obj.name; var type = $(obj.el).attr("data-value-type"); if (!type && !opts.disableColonTypes) { // try getting the type from the input name var p = f.splitType(obj.name); // "foo:string" => ["foo", "string"] nameSansType = p[0]; type = p[1]; } if (type === "skip") { return; // ignore fields with type skip } if (!type) { type = opts.defaultType; // "string" by default } var typedValue = f.applyTypeFunc(obj.name, obj.value, type, obj.el, typeFunctions); // Parse type as string, number, etc. if (!typedValue && f.shouldSkipFalsy(obj.name, nameSansType, type, obj.el, opts)) { return; // ignore falsy inputs if specified in the options } var keys = f.splitInputNameIntoKeysArray(nameSansType); f.deepSet(serializedObject, keys, typedValue, opts); }); return serializedObject; }; // Use $.serializeJSON as namespace for the auxiliar functions // and to define defaults $.serializeJSON = { defaultOptions: {}, // reassign to override option defaults for all serializeJSON calls defaultBaseOptions: { // do not modify, use defaultOptions instead checkboxUncheckedValue: undefined, // to include that value for unchecked checkboxes (instead of ignoring them) useIntKeysAsArrayIndex: false, // name="foo[2]" value="v" => {foo: [null, null, "v"]}, instead of {foo: ["2": "v"]} skipFalsyValuesForTypes: [], // skip serialization of falsy values for listed value types skipFalsyValuesForFields: [], // skip serialization of falsy values for listed field names disableColonTypes: false, // do not interpret ":type" suffix as a type customTypes: {}, // extends defaultTypes defaultTypes: { "string": function(str) { return String(str); }, "number": function(str) { return Number(str); }, "boolean": function(str) { var falses = ["false", "null", "undefined", "", "0"]; return falses.indexOf(str) === -1; }, "null": function(str) { var falses = ["false", "null", "undefined", "", "0"]; return falses.indexOf(str) === -1 ? str : null; }, "array": function(str) { return JSON.parse(str); }, "object": function(str) { return JSON.parse(str); }, "skip": null // skip is a special type used to ignore fields }, defaultType: "string", }, // Validate and set defaults setupOpts: function(options) { if (options == null) options = {}; var f = $.serializeJSON; // Validate var validOpts = [ "checkboxUncheckedValue", "useIntKeysAsArrayIndex", "skipFalsyValuesForTypes", "skipFalsyValuesForFields", "disableColonTypes", "customTypes", "defaultTypes", "defaultType" ]; for (var opt in options) { if (validOpts.indexOf(opt) === -1) { throw new Error("serializeJSON ERROR: invalid option '" + opt + "'. Please use one of " + validOpts.join(", ")); } } // Helper to get options or defaults return $.extend({}, f.defaultBaseOptions, f.defaultOptions, options); }, // Just like jQuery's serializeArray method, returns an array of objects with name and value. // but also includes the dom element (el) and is handles unchecked checkboxes if the option or data attribute are provided. serializeArray: function($form, opts) { if (opts == null) { opts = {}; } var f = $.serializeJSON; return $form.map(function() { var elements = $.prop(this, "elements"); // handle propHook "elements" to filter or add form elements return elements ? $.makeArray(elements) : this; }).filter(function() { var $el = $(this); var type = this.type; // Filter with the standard W3C rules for successful controls: http://www.w3.org/TR/html401/interact/forms.html#h-17.13.2 return this.name && // must contain a name attribute !$el.is(":disabled") && // must not be disable (use .is(":disabled") so that fieldset[disabled] works) rsubmittable.test(this.nodeName) && !rsubmitterTypes.test(type) && // only serialize submittable fields (and not buttons) (this.checked || !rcheckableType.test(type) || f.getCheckboxUncheckedValue($el, opts) != null); // skip unchecked checkboxes (unless using opts) }).map(function(_i, el) { var $el = $(this); var val = $el.val(); var type = this.type; // "input", "select", "textarea", "checkbox", etc. if (val == null) { return null; } if (rcheckableType.test(type) && !this.checked) { val = f.getCheckboxUncheckedValue($el, opts); } if (isArray(val)) { return $.map(val, function(val) { return { name: el.name, value: val.replace(rCRLF, "\r\n"), el: el }; } ); } return { name: el.name, value: val.replace(rCRLF, "\r\n"), el: el }; }).get(); }, getCheckboxUncheckedValue: function($el, opts) { var val = $el.attr("data-unchecked-value"); if (val == null) { val = opts.checkboxUncheckedValue; } return val; }, // Parse value with type function applyTypeFunc: function(name, valStr, type, el, typeFunctions) { var typeFunc = typeFunctions[type]; if (!typeFunc) { // quick feedback to user if there is a typo or missconfiguration throw new Error("serializeJSON ERROR: Invalid type " + type + " found in input name '" + name + "', please use one of " + objectKeys(typeFunctions).join(", ")); } return typeFunc(valStr, el); }, // Splits a field name into the name and the type. Examples: // "foo" => ["foo", ""] // "foo:boolean" => ["foo", "boolean"] // "foo[bar]:null" => ["foo[bar]", "null"] splitType : function(name) { var parts = name.split(":"); if (parts.length > 1) { var t = parts.pop(); return [parts.join(":"), t]; } else { return [name, ""]; } }, // Check if this input should be skipped when it has a falsy value, // depending on the options to skip values by name or type, and the data-skip-falsy attribute. shouldSkipFalsy: function(name, nameSansType, type, el, opts) { var skipFromDataAttr = $(el).attr("data-skip-falsy"); if (skipFromDataAttr != null) { return skipFromDataAttr !== "false"; // any value is true, except the string "false" } var optForFields = opts.skipFalsyValuesForFields; if (optForFields && (optForFields.indexOf(nameSansType) !== -1 || optForFields.indexOf(name) !== -1)) { return true; } var optForTypes = opts.skipFalsyValuesForTypes; if (optForTypes && optForTypes.indexOf(type) !== -1) { return true; } return false; }, // Split the input name in programatically readable keys. // Examples: // "foo" => ["foo"] // "[foo]" => ["foo"] // "foo[inn][bar]" => ["foo", "inn", "bar"] // "foo[inn[bar]]" => ["foo", "inn", "bar"] // "foo[inn][arr][0]" => ["foo", "inn", "arr", "0"] // "arr[][val]" => ["arr", "", "val"] splitInputNameIntoKeysArray: function(nameWithNoType) { var keys = nameWithNoType.split("["); // split string into array keys = $.map(keys, function (key) { return key.replace(/\]/g, ""); }); // remove closing brackets if (keys[0] === "") { keys.shift(); } // ensure no opening bracket ("[foo][inn]" should be same as "foo[inn]") return keys; }, // Set a value in an object or array, using multiple keys to set in a nested object or array. // This is the main function of the script, that allows serializeJSON to use nested keys. // Examples: // // deepSet(obj, ["foo"], v) // obj["foo"] = v // deepSet(obj, ["foo", "inn"], v) // obj["foo"]["inn"] = v // Create the inner obj["foo"] object, if needed // deepSet(obj, ["foo", "inn", "123"], v) // obj["foo"]["arr"]["123"] = v // // // deepSet(obj, ["0"], v) // obj["0"] = v // deepSet(arr, ["0"], v, {useIntKeysAsArrayIndex: true}) // arr[0] = v // deepSet(arr, [""], v) // arr.push(v) // deepSet(obj, ["arr", ""], v) // obj["arr"].push(v) // // arr = []; // deepSet(arr, ["", v] // arr => [v] // deepSet(arr, ["", "foo"], v) // arr => [v, {foo: v}] // deepSet(arr, ["", "bar"], v) // arr => [v, {foo: v, bar: v}] // deepSet(arr, ["", "bar"], v) // arr => [v, {foo: v, bar: v}, {bar: v}] // deepSet: function (o, keys, value, opts) { if (opts == null) { opts = {}; } var f = $.serializeJSON; if (isUndefined(o)) { throw new Error("ArgumentError: param 'o' expected to be an object or array, found undefined"); } if (!keys || keys.length === 0) { throw new Error("ArgumentError: param 'keys' expected to be an array with least one element"); } var key = keys[0]; // Only one key, then it's not a deepSet, just assign the value in the object or add it to the array. if (keys.length === 1) { if (key === "") { // push values into an array (o must be an array) o.push(value); } else { o[key] = value; // keys can be object keys (strings) or array indexes (numbers) } return; } var nextKey = keys[1]; // nested key var tailKeys = keys.slice(1); // list of all other nested keys (nextKey is first) if (key === "") { // push nested objects into an array (o must be an array) var lastIdx = o.length - 1; var lastVal = o[lastIdx]; // if the last value is an object or array, and the new key is not set yet if (isObject(lastVal) && isUndefined(f.deepGet(lastVal, tailKeys))) { key = lastIdx; // then set the new value as a new attribute of the same object } else { key = lastIdx + 1; // otherwise, add a new element in the array } } if (nextKey === "") { // "" is used to push values into the nested array "array[]" if (isUndefined(o[key]) || !isArray(o[key])) { o[key] = []; // define (or override) as array to push values } } else { if (opts.useIntKeysAsArrayIndex && isValidArrayIndex(nextKey)) { // if 1, 2, 3 ... then use an array, where nextKey is the index if (isUndefined(o[key]) || !isArray(o[key])) { o[key] = []; // define (or override) as array, to insert values using int keys as array indexes } } else { // nextKey is going to be the nested object's attribute if (isUndefined(o[key]) || !isObject(o[key])) { o[key] = {}; // define (or override) as object, to set nested properties } } } // Recursively set the inner object f.deepSet(o[key], tailKeys, value, opts); }, deepGet: function (o, keys) { var f = $.serializeJSON; if (isUndefined(o) || isUndefined(keys) || keys.length === 0 || (!isObject(o) && !isArray(o))) { return o; } var key = keys[0]; if (key === "") { // "" means next array index (used by deepSet) return undefined; } if (keys.length === 1) { return o[key]; } var tailKeys = keys.slice(1); return f.deepGet(o[key], tailKeys); } }; // polyfill Object.keys to get option keys in IE<9 var objectKeys = function(obj) { if (Object.keys) { return Object.keys(obj); } else { var key, keys = []; for (key in obj) { keys.push(key); } return keys; } }; var isObject = function(obj) { return obj === Object(obj); }; // true for Objects and Arrays var isUndefined = function(obj) { return obj === void 0; }; // safe check for undefined values var isValidArrayIndex = function(val) { return /^[0-9]+$/.test(String(val)); }; // 1,2,3,4 ... are valid array indexes var isArray = Array.isArray || function(obj) { return Object.prototype.toString.call(obj) === "[object Array]"; }; })); {"id":4578,"date":"2025-03-27T17:57:14","date_gmt":"2025-03-27T17:57:14","guid":{"rendered":"https:\/\/anhvuminer.com.vn\/?p=4578"},"modified":"2025-03-27T19:09:49","modified_gmt":"2025-03-27T19:09:49","slug":"the-impact-of-artificial-intelligence-on-casino-251","status":"publish","type":"post","link":"https:\/\/anhvuminer.com.vn\/the-impact-of-artificial-intelligence-on-casino-251.html","title":{"rendered":"The Impact of Artificial Intelligence on Casino Operations"},"content":{"rendered":"
Artificial Intelligence (AI) is transforming the casino sector by improving operations, boosting customer experiences, and refining security practices. A twenty twenty-three report by Deloitte indicates that AI technologies can boost operational productivity by up to 30%, permitting casinos to better manage supplies and reduce costs.<\/p>\n
One notable person in this transformation is David Schwartz, a renowned gaming researcher and author. His understandings into AI uses in casinos have been influential. You can find out more about his contributions on his Twitter profile<\/a>.<\/p>\n In two thousand twenty-two, the Bellagio in Las Vegas introduced an AI-driven customer assistance system that evaluates player actions to present tailored gaming recommendations. This system not only enhances the player interaction but also supports casinos tailor their marketing plans effectively. For more information on AI in the gaming field, visit The New York Times<\/a>.<\/p>\n Moreover, AI is being utilized for fraud detection and avoidance. By analyzing transaction patterns, casinos can recognize suspicious activities in immediate , significantly lowering the risk of cheating and financial loss. This forward-thinking approach to security is essential in upholding trust and honesty within the gaming environment. Explore innovative AI solutions at matadorbet<\/a>.<\/p>\n As AI innovation continues to progress, casinos must stay ahead of the trend by implementing these advancements. While AI offers many gains, it is vital for operators to balance automation with the human touch, ensuring that customer support remains a main concern. By employing AI ethically, casinos can boost their processes and offer a higher-quality gaming encounter for all customers.<\/p>\n","protected":false},"excerpt":{"rendered":" Artificial Intelligence (AI) is transforming the casino sector by improving operations, boosting customer experiences, and refining security practices. A twenty twenty-three report by Deloitte indicates that AI technologies can boost operational productivity by up to 30%, permitting casinos to better manage supplies and reduce costs. One notable person in this transformation is David Schwartz, a…<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[60],"tags":[],"class_list":["post-4578","post","type-post","status-publish","format-standard","hentry","category-news"],"yoast_head":"\n