K\D D@QQS D* FQ ^0t] R@Q C\X B \M^E e,.@  U \\NGT0U\Xo!@UE Y GT!=MR@T\XR@U _+D@uK q='sOUIR FR =T?PuN[M0~b =C?r$L5ZY5NG1OG4V J=+VY1b4V dBe0mFo60g7GCrX\?ONrNt[ N5^$B$ \?O+rJ>E9Y1H3XrNY%r jErX#ErFBhGg2`L`5hfCjb1iV+Pt (ݸ ۱͙͢ڽڽ Oɦ W쒲 ۱A߽ W]⊼ϼ]O͇͢ı+ˠ\⊧ͱڽܵǺO ϸAܭOǦɽڽڭOOWOͧǺ$O/(Z]][_TΨmD^K_M~RZKU OkXWNSRP*U^^[COZRMD U^^[U]^^BMR[U MHZRP&_M z- ~*|X}__zY ]~zVB?o;SQIkJL[NSE٬[[ٔD_WIji [u urWyQV[mL JIWLWMWZ  xš ʘ{>2025-08-02 03:30:45 info: [Puppeteer Page] Got cookies, applying... DMvDԦRDMCUUUd-̄CDF 4ɶQD q|OެUONRCQHA\!oi7Ѧ?tr<ʦoİn/Ʀ?br*'5d>'l_1l̦n=xlFԳm+զx<|)Ğ= έn:Ӷ~:ħ=-άv'İ=(α=>xn@lܾN2025-08-02 03:30:45 info: [Puppeteer Page] Set 0 cookies on the page &H- ĚC6|8P:U$JA8ַd0B<ga(T)C}ÔV8b8}^6B})-T]1WiXBhBI^c^AI^u\KOzEI[CXi^.\KmAY6Wu\K~YO C. Y_CbeN69nOi=l;4kOMo<,* 4PeI" B"}4Q"%TeK3@eee"C ec$UgQ&Ub$Y"5GA"D3@gU4WeMG0uu 2W6Xm ;4ouY.8uXm. 8g% Y3W6X4;LchOz@=KnX8H`D!BaB5WeEidBjIeFmCuqzWu 2025-08-02 03:30:45 info: [Puppeteer Page] Got cookies, applying... ݯKƯ<ȹʯ] S$S̭S!غٯȗ6¾¥ȹQ̺ԣSзʇqJMAO}VZOKTYJVOHVH^@Tuo{v\OJPM\ bDZIEO\zXTw^DJC_ZTN^ERTY^XPM\qdLW1*92025-08-02 03:30:45 info: [Puppeteer Page] Attempting direct fetch of https://www.isis.vanderbilt.edu/sites/isis.vanderbilt.edu/files/bibcite_files/ICCPS_CameraReady_2019_arxiv_0.pdf ғRԺ%» Dӧ Гű̓J=JԻ֭J8 ԭ)ŭšΑԫ׭ϑRޟ߬ ӡݟ ܞԻG¡ǩԺ ݼFսGؤ ڞҡԻG8 Ժ ԩ X ɡ٩h2025-08-02 03:30:45 info: [Puppeteer File-Downloader] Attempting to download asset directly... ڽFMr^[ؽDOĽj潊LoZMSIJPPMKOXQ[L[\B?http/1.1http/1.1BYIBR_\^^B@T\}o~T^XHvVK^`WJK L_W XNJW  D9-܌ͻ򛊺ۻŒݻգܣ޵ش쌊؀ꗂǮjaU3gzUtCvU3Rh3DtUuV|UpW+~^vQcmdBDpBbY1?&lM0ê܄ۍߔÅؖÓ޴χ̘ρ˕țšמѻָɞҿÎހɒؖÓ޴χ̘ρ˕țšמѻָɞҿÎލܒՃϨ…Έɒ߈ڀɓȔōψ󇷖ɒ󢿗ɓɀ˕ԈϮϓ؉Œڄ୒ɇɓܒՃϨ…ΈəđكπÏτɂŎ؉ބ̮܄„ɒ…܀ބ͍؀ߔɒٍ֎͂ȶϱ؃ގɃހȀν͖ߕ͓󖱈DŽ׿›׼Ô̺ΘΕ΅왁ػΓȄōˆޒ蛔蘕טغʁϕȞ矝ʜȜʔʟȝ̷Œ͏ރϻ̽ϝטˁ͕ɇʜʂϹƄؖߕْȄ֎ٌزɟɝȎɅĕۖŒȄōɅ߈ηŒ͏ރϻθΈŕʈΗﱍހͅ󀬂ŗʂɇɓܒՃϨ…ΈəđكπÏτɂŎ؉ބ̮܄„ɒ…܀ܑπÏȇ֎ɀχ̘ρ˕țšמѻָɞҿÎ͓ō͌ؖÓȄōˆޒ蛔蘕טغʁϕȞ矝ʜȜʔʟȝ̷Œ͏ރϻ̽ϝטˁ͕ɇʜʎɕߕ؞ρלӊʟʖԟ栎Āņ߉˖敖䪒ʀٓəؖ֎܎ɵ˝ހۅú͔ɏπ͍ê؀ߒќ|$wCg%/lb<`Cq%9~[&%-b[C#@Mj.f=:h 8s,9knb>]`"0!+xzkg!>nh,IV>9kz4yg|)2x17{-.q+:d,f/+ez/bpa~I2025-08-02 03:30:47 info: [Puppeteer Page] Got cookies, applying... 7 p[Bpfp[w7[a7=P>7prC7 e pYEHazfe|W;hyVᶋVN NЙ6X/TTTT)t2025-08-02 03:30:47 info: [Puppeteer Page] Attempting direct fetch of https://www.isis.vanderbilt.edu/bibcite/export/bibtex/bibcite_reference/9 y4zrb9 /qi2Ng3beb/ /g{zx 9sgz!FVEl!o3pc%!8Sw0fv%q"!dg`Bv%nr)me$jp#w"%wa`ld(wv39-7tu)pknuc$fp)ov%gw"j`)wg%{r2w-)av8,`"`k%\p&fp.`gy!@2025-08-02 03:30:47 info: [Puppeteer File-Downloader] Attempting to download asset directly... a~7=UzugJff7+Uzc/|Ulw/%3WR09%ftp%MNWebpuW|kQhyhpu*Tsxw{`Wz'bitcWft5cpdl)Y7z w@inproceedings{9, author = {Ayan Mukhopadhyay and Geoffrey Pettet and Chinmaya Samal and Abhishek Dubey and Yevgeniy Vorobeychik}, title = {An Online Decision-Theoretic Pipeline for Responder Dispatch}, abstract = {The problem of dispatching emergency responders to service traffic accidents, fire, distress calls and crimes plagues urban areas across the globe. While such problems have been extensively looked at, most approaches are offline. Such methodologies fail to capture the dynamically changing environments under which critical emergency response occurs, and therefore, fail to be implemented in practice. Any holistic approach towards creating a pipeline for effective emergency response must also look at other challenges that it subsumes - predicting when and where incidents happen and understanding the changing environmental dynamics. We describe a system that collectively deals with all these problems in an online manner, meaning that the models get updated with streaming data sources. We highlight why such an approach is crucial to the effectiveness of emergency response, and present an algorithmic framework that can compute promising actions for a given decision-theoretic model for responder dispatch. We argue that carefully crafted heuristic measures can balance the trade-off between computational time and the quality of solutions achieved and highlight why such an approach is more scalable and tractable than traditional approaches. We also present an online mechanism for incident prediction, as well as an approach based on recurrent neural networks for learning and predicting environmental features that affect responder dispatch. We compare our methodology with prior state-of-the-art and existing dispatch strategies in the field, which show that our approach results in a reduction in response time with a drastic reduction in computational time.}, year = {2019}, journal = {International Conference on Cyber-Physical Systems}, month = {04/2019}, } >k)k1i,a,i2iFwo:X3-Wi^oZnH ZRiP My>:p)H#>y0)o4oqy-mAyn,I>0?}/y//xa}(0/