{"id":48690,"date":"2025-09-02T11:54:38","date_gmt":"2025-09-02T09:54:38","guid":{"rendered":"https:\/\/www.derivaty.sk\/?p=48690"},"modified":"2025-09-02T11:54:38","modified_gmt":"2025-09-02T09:54:38","slug":"detekcia-anomalii-vyuzitie-autoenkoderov-a-sieti-pre-prediktivnu-udrzbu-letovych-dat","status":"publish","type":"post","link":"https:\/\/www.vrtulniky.sk\/news\/detekcia-anomalii-vyuzitie-autoenkoderov-a-sieti-pre-prediktivnu-udrzbu-letovych-dat\/","title":{"rendered":"Detekcia anom\u00e1li\u00ed: Vyu\u017eitie autoenkod\u00e9rov a siet\u00ed pre predikt\u00edvnu \u00fadr\u017ebu letov\u00fdch d\u00e1t"},"content":{"rendered":"<h2>Anom\u00e1lna detekcia v letov\u00fdch d\u00e1tach<\/h2>\n<p>Anom\u00e1lna detekcia v letov\u00fdch d\u00e1tach UAV je k\u013e\u00fa\u010dov\u00e1 pre v\u010dasn\u00e9 odhalenie por\u00fach senzorov, degrad\u00e1cie pohonu, zhor\u0161enia naviga\u010dnej integrity, kybernetick\u00fdch \u00fatokov \u010di emergentn\u00fdch probl\u00e9mov v rojov\u00fdch interakci\u00e1ch. Autoenk\u00f3dery (AE) pon\u00fakaj\u00fa bezdozorov\u00fa extrakciu reprezent\u00e1ci\u00ed a meranie rekon\u0161truk\u010dnej chyby ako sign\u00e1lu anom\u00e1lie; grafov\u00e9 modely (GM) \u2013 najm\u00e4 grafov\u00e9 neur\u00f3nov\u00e9 siete (GNN) a pravdepodobnostn\u00e9 grafy \u2013 zase explicitne zachyt\u00e1vaj\u00fa z\u00e1vislosti medzi subsyst\u00e9mami UAV a agentmi v roji. Kombin\u00e1cia oboch pr\u00edstupov umo\u017e\u0148uje detegova\u0165 anom\u00e1lie na \u00farovni <em>\u010dasov\u00e9ho priebehu<\/em>, <em>\u0161trukt\u00fary syst\u00e9mu<\/em> a <em>vz\u00e1jomn\u00fdch interakci\u00ed<\/em>.<\/p>\n<h2>Charakteristika letov\u00fdch d\u00e1t a anom\u00e1li\u00ed<\/h2>\n<ul>\n<li><strong>Typy d\u00e1t<\/strong>: IMU (acc\/gyro), baro, GNSS, magnetometer, optick\u00fd tok, lidar\/radar, stavov\u00e9 odhady (EKF\/UKF), pr\u00edkazy riadenia, teploty, pr\u00fady, nap\u00e4tia, logy autopilota, telemetria linky C2, U-space\/UAT, \u00fadaje z payloadu.<\/li>\n<li><strong>\u0160trukt\u00fara<\/strong>: viacr\u00fdchlostn\u00e9 multikan\u00e1lov\u00e9 \u010dasov\u00e9 rady, eventy (failsafe, mode switch), priestorov\u00e9 rel\u00e1cie (roje, form\u00e1cie), hierarchia (senzor \u2192 odhad \u2192 riadenie \u2192 aktor).<\/li>\n<li><strong>Typy anom\u00e1li\u00ed<\/strong>: bodov\u00e9 (spike), kontextov\u00e9 (drift pri \u0161pecifickom re\u017eime), sekven\u010dn\u00e9 (oneskoren\u00e9 integr\u00e1lne nas\u00fdtenie), \u0161truktur\u00e1lne (rozpad form\u00e1cie), kolekt\u00edvne (koordinovan\u00e9 odch\u00fdlky viacer\u00fdch uzlov).<\/li>\n<\/ul>\n<h2>Predspracovanie a normaliz\u00e1cia<\/h2>\n<ul>\n<li>Synchroniz\u00e1cia a <em>resampling<\/em> viackan\u00e1lov\u00fdch zdrojov; o\u0161etrenie ch\u00fdbaj\u00facich hodn\u00f4t (interpol\u00e1cia vs. maskovacie vektory).<\/li>\n<li>Odstr\u00e1nenie sez\u00f3nnosti a trendov (napr. teplotn\u00e1 driftov\u00e1 kompenz\u00e1cia IMU).<\/li>\n<li>Normaliz\u00e1cia po re\u017eimoch letu (TAKEOFF\/CRUISE\/RTL) a pod\u013ea letov\u00e9ho profilu (r\u00fdchlos\u0165, v\u00fd\u0161ka, za\u0165a\u017eenie vetrom).<\/li>\n<li>Kon\u0161trukcia doplnkov\u00fdch pr\u00edznakov: deriv\u00e1cie, energetick\u00e9 metriky, spektr\u00e1 (STFT), <em>health<\/em> indexy (SoH bat\u00e9rie).<\/li>\n<\/ul>\n<h2>Autoenk\u00f3dery: architekt\u00fary a tr\u00e9ning<\/h2>\n<ul>\n<li><strong>Dense\/Convolutional AE<\/strong>: vhodn\u00e9 pre kr\u00e1tke okn\u00e1 a lok\u00e1lne vzory; 1D CNN pre akcelerometrick\u00e9 a motorov\u00e9 sign\u00e1ly.<\/li>\n<li><strong>Rekurentn\u00e9 AE<\/strong>: LSTM\/GRU encoder\u2013decoder pre dlh\u0161ie \u010dasov\u00e9 z\u00e1vislosti; <em>seq2seq<\/em> s pozornos\u0165ou pre variabiln\u00e9 d\u013a\u017eky.<\/li>\n<li><strong>Variational AE (VAE)<\/strong>: latentn\u00fd priestor s regul\u00e1riz\u00e1ciou (KL), ktor\u00fd umo\u017e\u0148uje odhad hustoty a neistoty rekon\u0161trukcie.<\/li>\n<li><strong>Denoising a Contractive AE<\/strong>: robustnos\u0165 vo\u010di \u0161umu a drobn\u00fdm perturb\u00e1ci\u00e1m.<\/li>\n<li><strong>Adversari\u00e1lne AE<\/strong>: lep\u0161ie pri aproxim\u00e1cii komplexn\u00fdch distrib\u00faci\u00ed (pozor na stabilitu tr\u00e9ningu).<\/li>\n<\/ul>\n<p><strong>Straty a kalibr\u00e1cia prahov:<\/strong> kombin\u00e1cia rekon\u0161truk\u010dnej chyby (MAE\/MSE\/Huber) a regulariza\u010dn\u00fdch termov; prahy odvoden\u00e9 pomocou <em>Extreme Value Theory<\/em> (EVT), alebo <em>Conformal Prediction<\/em> pre garantovan\u00fa mieru falo\u0161n\u00fdch poplachov.<\/p>\n<h2>Grafov\u00e9 modely pre UAV a roje<\/h2>\n<ul>\n<li><strong>Model syst\u00e9mu UAV<\/strong> ako grafu: uzly = subsyst\u00e9my (IMU, EKF, attitude loop, motor), hrany = fyzik\u00e1lne\/algoritmick\u00e9 v\u00e4zby (korekcie, sp\u00e4tn\u00e9 v\u00e4zby).<\/li>\n<li><strong>Model roja<\/strong>: uzly = drony, hrany = komunik\u00e1cia\/vidite\u013enos\u0165\/proximitn\u00e9 v\u00e4zby; dynamick\u00fd graf pod\u013ea polohy, r\u00fdchlosti a topol\u00f3gie siete.<\/li>\n<li><strong>GNN pre anom\u00e1lie<\/strong>: GraphSAGE\/GCN\/GAT s \u010dasovou zlo\u017ekou (T-GNN, DCRNN, ST-GCN) pre <em>spatio-temporal<\/em> z\u00e1vislosti.<\/li>\n<li><strong>Grafov\u00e9 autoenk\u00f3dery (GAE\/VGAE)<\/strong>: rekon\u0161trukcia adjacen\u010dnej matice a atrib\u00fatov; anom\u00e1lie ako vysok\u00e1 rekon\u0161truk\u010dn\u00e1 chyba uzla\/hrany.<\/li>\n<li><strong>Pravdepodobnostn\u00e9 grafy<\/strong>: Bayesovsk\u00e9 siete a faktorov\u00e9 grafy na kauz\u00e1lne inference; odhalenie nekonzistentn\u00fdch tokov (napr. GNSS \u2192 EKF \u2192 v\u00fd\u0161ka)<\/li>\n<\/ul>\n<h2>Detek\u010dn\u00e9 re\u017eimy: uzol, hrana, graf<\/h2>\n<ul>\n<li><strong>Na \u00farovni uzla<\/strong>: degrad\u00e1cia jedn\u00e9ho senzora\/motora; sk\u00f3re = rekon\u0161truk\u010dn\u00e1 chyba uzla + odch\u00fdlka latentn\u00e9ho vektora.<\/li>\n<li><strong>Na \u00farovni hrany<\/strong>: porucha komunik\u00e1cie, abnorm\u00e1lna latencia; sk\u00f3re = pravdepodobnos\u0165 ch\u00fdbaj\u00facej\/neo\u010dak\u00e1vanej hrany, zmena v\u00e1h.<\/li>\n<li><strong>Na \u00farovni grafu<\/strong>: rozpad form\u00e1cie, nekonzistentn\u00e9 glob\u00e1lne spr\u00e1vanie; sk\u00f3re = odch\u00fdlka spektr\u00e1lnych vlastnost\u00ed Laplaci\u00e1nu, GAE rekon\u0161truk\u010dn\u00e1 strata.<\/li>\n<\/ul>\n<h2>F\u00fazia autoenk\u00f3derov a grafov\u00fdch pr\u00edstupov<\/h2>\n<ul>\n<li><strong>Hybridn\u00fd pipeline<\/strong>: per-kan\u00e1lov\u00fd sekven\u010dn\u00fd AE \u2192 zhutnen\u00e9 latentn\u00e9 vektory ako atributy uzlov \u2192 GNN\/GAE pre \u0161truktur\u00e1lnu koherenciu.<\/li>\n<li><strong>Hierarchia<\/strong>: AE pre subsyst\u00e9my (IMU\/motory) + GAE pre nadriaden\u00e9 prepojenia (EKF\u2013riadenie\u2013aktu\u00e1tory).<\/li>\n<li><strong>Multimod\u00e1lna konformnos\u0165<\/strong>: kontrola, \u010di rekon\u0161trukcie naprie\u010d modalitami (IMU, GNSS, pr\u00edkazy) s\u00fa kauz\u00e1lne konzistentn\u00e9.<\/li>\n<\/ul>\n<h2>Tr\u00e9ning bez a s doh\u013eadom<\/h2>\n<ul>\n<li><strong>Bezdozorov\u00fd<\/strong>: tr\u00e9ning na \u201ezdrav\u00fdch\u201c d\u00e1tach; pozor na skryt\u00fa kontamin\u00e1ciu anom\u00e1liami (robustn\u00e9 tr\u00e9novacie sch\u00e9my, trimming, median-of-means).<\/li>\n<li><strong>Polo-dozorovan\u00fd<\/strong>: mal\u00e9 mno\u017estvo ozna\u010den\u00fdch incidentov; <em>contrastive learning<\/em> s <em>hard negatives<\/em>.<\/li>\n<li><strong>Dozorovan\u00fd<\/strong>: syntetick\u00e9 scen\u00e1re (SITL\/HIL) \u2013 dom\u00e9nov\u00e9 <em>data augmentation<\/em> (GNSS spoofing, motor thrust loss, C2 packet loss, v\u00fdpadky senzorov).<\/li>\n<\/ul>\n<h2>Online inferencia a nasadenie na palube<\/h2>\n<ul>\n<li><strong>Obmedzenia<\/strong>: v\u00fdpo\u010dtov\u00e9 zdroje, latencia (10\u201350 ms v riadiacej slu\u010dke), energetick\u00e1 spotreba.<\/li>\n<li><strong>Optimaliz\u00e1cia<\/strong>: kvantiz\u00e1cia, prerez\u00e1vanie, distil\u00e1cia (AE\u2192lite AE), implement\u00e1cia v C++\/Rust na RTOS; batchovanie a <em>sliding windows<\/em>.<\/li>\n<li><strong>Edge\u2013cloud<\/strong>: hrani\u010dn\u00e9 spracovanie pre okam\u017eit\u00e9 z\u00e1sahy + asynchr\u00f3nna cloudov\u00e1 anal\u00fdza pre trendov\u00e9 anom\u00e1lie.<\/li>\n<\/ul>\n<h2>Prahovanie, neistota a rozhodovanie<\/h2>\n<ul>\n<li>Kalibr\u00e1cia sk\u00f3re (Platt\/Isotonic), <em>conformal prediction<\/em> pre kontrolu FPR.<\/li>\n<li>F\u00fazia rozhodnut\u00ed (Dempster\u2013Shafer, Bayes) z viacer\u00fdch detektorov (AE, GAE, pravidl\u00e1).<\/li>\n<li>Mapovanie na <strong>Safety Monitor<\/strong> (Simplex\/Runtime Assurance): <em>observe\u2013orient\u2013decide\u2013act<\/em> s bezpe\u010dn\u00fdm fallbackom.<\/li>\n<\/ul>\n<h2>Metodiky hodnotenia a metriky<\/h2>\n<ul>\n<li><strong>Mapovanie incidentov<\/strong> do \u201etruth\u201c anot\u00e1ci\u00ed (\u010dasov\u00e9 intervaly, uzly, hrany, grafy).<\/li>\n<li><strong>Metriky<\/strong>: AUC-ROC, AUC-PR (pri nerovnov\u00e1he), F1, mAP, <em>time-to-detect<\/em>, <em>false alarm rate<\/em>, latencia.<\/li>\n<li><strong>Robustnos\u0165<\/strong>: odolnos\u0165 vo\u010di driftu (seasonality, opotrebenie bat\u00e9ri\u00ed), OOD generaliz\u00e1cia.<\/li>\n<\/ul>\n<h2>Interpretovate\u013enos\u0165 a vysvetlenia<\/h2>\n<ul>\n<li>Saliency pre sekven\u010dn\u00e9 AE (gradienty, <em>integrated gradients<\/em>), ocenenie d\u00f4le\u017eitosti kan\u00e1lov.<\/li>\n<li>GNN vysvetlenia (GNNExplainer, PGExplainer): subgrafy prispievaj\u00face k rozhodnutiu.<\/li>\n<li>Kontrafaktu\u00e1ly: minim\u00e1lne zmeny sign\u00e1lov\/topol\u00f3gie potrebn\u00e9 na n\u00e1vrat do \u201enorm\u00e1lu\u201c.<\/li>\n<\/ul>\n<h2>Detekcia v rojoch a kolekt\u00edvne javy<\/h2>\n<ul>\n<li>Topol\u00f3gia form\u00e1cie (l\u00edder\u2013st\u00fapenec, kruh, mrie\u017eka), odch\u00fdlky vzdialenost\u00ed a uhlov.<\/li>\n<li>Dynamick\u00e9 grafy s metrikami koherencie (algebraick\u00e1 konektivita, spektr\u00e1lny polomer).<\/li>\n<li>Detekcia lok\u00e1lnych vs. glob\u00e1lnych anom\u00e1li\u00ed: <em>ego-graph<\/em> vs. cel\u00fd roj; \u0161\u00edrenie poruchy cez komunika\u010dn\u00e9 hrany.<\/li>\n<\/ul>\n<h2>Kybernetick\u00e1 bezpe\u010dnos\u0165 a adversari\u00e1lne aspekty<\/h2>\n<ul>\n<li>GNSS spoofing, IMU injection, C2 replay; detekcia cez nekonzistenciu medzi modalitami (AE+BN).<\/li>\n<li>Adversari\u00e1lne pr\u00edklady proti AE\/GNN; obrany: <em>adversarial training<\/em>, <em>randomized smoothing<\/em>, detektory OOD.<\/li>\n<li>Integrita telemetrie a \u010dasov\u00fdch pe\u010diatok (MAC, monot\u00f3nne po\u010d\u00edtadl\u00e1).<\/li>\n<\/ul>\n<h2>Datasetov\u00e1 strat\u00e9gia a syntetick\u00e9 d\u00e1ta<\/h2>\n<ul>\n<li>SITL\/HIL generovanie zlyhan\u00ed: stratov\u00e9 scen\u00e1re senzorov, v\u00fdpadky motora, turbulencie, link loss profily.<\/li>\n<li>Sim2Real kalibr\u00e1cia: enk\u00f3dujte realistick\u00fd \u0161um, neide\u00e1lne oneskorenia, satur\u00e1cie; <em>domain randomization<\/em>.<\/li>\n<li>Bezpe\u010dn\u00e9 logovanie a anot\u00e1cia po\u010das sk\u00fa\u0161ok; ochrana osobn\u00fdch \u00fadajov a citliv\u00fdch geod\u00e1t (priv\u00e1tnos\u0165, zoskupovanie).<\/li>\n<\/ul>\n<h2>Implementa\u010dn\u00fd n\u00e1vrh: referen\u010dn\u00fd pipeline<\/h2>\n<ol>\n<li><strong>Zber<\/strong>: synchroniz\u00e1cia, valid\u00e1cia, normaliz\u00e1cia per-re\u017eim.<\/li>\n<li><strong>AE tr\u00e9ning<\/strong>: LSTM-AE\/1D-CNN-AE na okn\u00e1ch 1\u20135 s; strata MSE+Huber; valida\u010dn\u00e9 prahy cez EVT.<\/li>\n<li><strong>Grafov\u00e1 vrstva<\/strong>: kon\u0161trukcia syst\u00e9mov\u00e9ho\/rojov\u00e9ho grafu; T-GNN\/GAE na latentoch z AE.<\/li>\n<li><strong>F\u00fazia<\/strong>: Bayes\/D\u2013S evidence; rozhodnutie o stupni z\u00e1va\u017enosti a odpor\u00fa\u010dan\u00fd z\u00e1sah.<\/li>\n<li><strong>Runtime<\/strong>: edge inferencia s kvantiz\u00e1ciou; Simplex monitor pre n\u00fadzov\u00e9 prepnutie.<\/li>\n<li><strong>MLOps<\/strong>: sledovanie driftu, re-tr\u00e9ning, audit st\u00f4p, verziovanie modelov a d\u00e1t.<\/li>\n<\/ol>\n<h2>Pr\u00edpadov\u00e1 \u0161t\u00fadia (schematicky)<\/h2>\n<p><strong>Scen\u00e1r:<\/strong> multikopt\u00e9ra s BVLOS, n\u00e1hle zv\u00fd\u0161enie vibr\u00e1ci\u00ed a pokles \u0165ahu jedn\u00e9ho motora. LSTM-AE na motorov\u00fdch pr\u00fadoch a IMU vykazuje rast\u00facu rekon\u0161truk\u010dn\u00fa chybu po\u010das 8 s. Syst\u00e9mov\u00fd graf (uzly: motory, IMU, EKF, attitude, position; hrany: fyzik\u00e1lne v\u00e4zby) v GAE signalizuje nekonzistenciu medzi uzlami \u201emotor-3\u201c a \u201eattitude\u201c. F\u00fazia sk\u00f3re prekro\u010d\u00ed prah \u00farovne 2 \u2192 monitor aktivuje obmedzenie r\u00fdchlosti a n\u00e1vratov\u00fd re\u017eim. Po prist\u00e1t\u00ed anal\u00fdza identifikuje \u010diasto\u010dn\u00e9 zadieranie lo\u017e\u00edsk motora a zv\u00fd\u0161en\u00e9 zohriatie ESC.<\/p>\n<h2>Limity a antipatery<\/h2>\n<ul>\n<li><strong>Kontaminovan\u00e9 \u201ezdrav\u00e9\u201c tr\u00e9ningov\u00e9 d\u00e1ta<\/strong>: vedie k otupeniu detekcie.<\/li>\n<li><strong>Ignorovanie re\u017eimovej z\u00e1vislosti<\/strong>: prahy musia by\u0165 kontextov\u00e9 (re\u017eim\/za\u0165a\u017eenie\/vietor).<\/li>\n<li><strong>Prekomplexn\u00e9 topol\u00f3gie<\/strong> bez regulariz\u00e1cie: hroz\u00ed <em>overfitting<\/em> a nestabilita GNN.<\/li>\n<li><strong>Nezoh\u013eadnenie latencie<\/strong> v RTA: oneskoren\u00e1 detekcia m\u00f4\u017ee by\u0165 neakceptovate\u013en\u00e1 pre bezpe\u010dn\u00e9 prepnutie.<\/li>\n<\/ul>\n<h2>Best practices a odpor\u00fa\u010dania<\/h2>\n<ul>\n<li>Oddelen\u00fd <em>golden set<\/em> zdrav\u00fdch letov; <em>canary<\/em> testovanie po ka\u017edej zmene firmv\u00e9ru.<\/li>\n<li>Kontextov\u00e9 prahy viazan\u00e9 na re\u017eim a letov\u00e9 podmienky; vyu\u017eitie konformnej predikcie.<\/li>\n<li>Hybridn\u00e9 modely (AE+GAE) s kompozi\u010dnou interpretovate\u013enos\u0165ou; logovanie subgrafov\u00fdch vysvetlen\u00ed.<\/li>\n<li>Bezpe\u010dnostn\u00e9 v\u00e4zby do riadenia: Command Governor a Simplex runtime assurance.<\/li>\n<li>Priebe\u017en\u00e1 kalibr\u00e1cia cez HIL a sp\u00e4tn\u00fa v\u00e4zbu z prev\u00e1dzky (SMS, incident reports).<\/li>\n<\/ul>\n<p>Autoenk\u00f3dery poskytuj\u00fa siln\u00fd bezdozorov\u00fd detektor lok\u00e1lnych a sekven\u010dn\u00fdch odch\u00fdlok, k\u00fdm grafov\u00e9 modely prin\u00e1\u0161aj\u00fa citlivos\u0165 na \u0161truktur\u00e1lne a kolekt\u00edvne anom\u00e1lie. Ich integrovan\u00fd n\u00e1vrh \u2013 podporen\u00fd kontextov\u00fdm prahovan\u00edm, interpretovate\u013enos\u0165ou a runtime z\u00e1rukami \u2013 umo\u017e\u0148uje robustn\u00fa, v\u010dasn\u00fa a ak\u010dne vyu\u017eite\u013en\u00fa detekciu anom\u00e1li\u00ed v individu\u00e1lnych UAV aj v komplexn\u00fdch rojov\u00fdch misi\u00e1ch.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML pr\u00edstupy na v\u010dasn\u00e9 odhalenie anom\u00e1li\u00ed v telemetrii. Ako nastavi\u0165 alarmy a interpretova\u0165 v\u00fdstupy pre ak\u010dn\u00e9 z\u00e1sahy.<\/p>\n","protected":false},"author":44,"featured_media":88690,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2629],"tags":[2506,2507,2508,2509,963,2207,2510,2511],"class_list":["post-48690","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-drony","tag-alarmy","tag-anomalna-detekcia-letovych-dat","tag-autoenkodery","tag-grafove-modely","tag-interpretacia","tag-outliery","tag-streaming","tag-zasahy"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Detekcia anom\u00e1li\u00ed: Vyu\u017eitie autoenkod\u00e9rov a siet\u00ed pre predikt\u00edvnu \u00fadr\u017ebu letov\u00fdch d\u00e1t - Podnik\u00e1m, lietam a relaxujem<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vrtulniky.sk\/news\/detekcia-anomalii-vyuzitie-autoenkoderov-a-sieti-pre-prediktivnu-udrzbu-letovych-dat\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Detekcia anom\u00e1li\u00ed: Vyu\u017eitie autoenkod\u00e9rov a siet\u00ed pre predikt\u00edvnu \u00fadr\u017ebu letov\u00fdch d\u00e1t - Podnik\u00e1m, lietam a relaxujem\" \/>\n<meta property=\"og:description\" content=\"ML pr\u00edstupy na v\u010dasn\u00e9 odhalenie anom\u00e1li\u00ed v telemetrii. 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