BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221110T220101Z UID:8B3AABEB-AF46-4A21-9F07-30E0A3D553BE DTSTART;TZID=America/New_York:20221107T150000 DTEND;TZID=America/New_York:20221107T210000 DESCRIPTION:This seminar will focus on modern electronic support (ES) and e lectronic attack (EA) techniques using deep learning methods. In the after noon session\, we begin with an examination of persistent spectrum sensing and signal detection methods starting with an examination of both central ized and decentralized electromagnetic spectrum sensing techniques. We wil l continue with an overview of how artificial intelligence (AI) and machin e learning (ML) techniques are being used in transceivers for EMW. This in cludes model and data parallel training techniques for both centralized an d decentralized architectures.\nRegistartion Link:\n[Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare Seminar (rohde-schwarz.com)](https://events.rohde-schwarz.com/profile/form/index. cfm?PKformID=0x21566abcd&source=IEEE)\n\nWe follow with an overview on imp ortant deep learning techniques that go beyond neural networks (NN). These include autoencoders\, convolutional NN\, long-\, short-term memories\, r estricted and deep Boltzmann machines and generative adversarial networks. We focus on their use for EA applications including how DRFM and UAVs in a tactical environment can develop a deep learning control strategy. Trans fer learning and the importance of federated learning is also addressed. D ifferent types of EA applications include obscuration-EA\, deception-EA\, and target-EA. We conclude with an examination of the proper clutter coeff icients for deception\n\nNote to attendees:\n“Please park on the north s ide of 12 Vreeland Rd. and come in the back door by the cafeteria. All oth er doors will be locked. The north parking lot is the second parking lot o n the left as you approach 12 Vreeland Rd. if arriving from Columbia Turnp ike. The north parking lot is the first parking lot on the right as you ap proach 12 Vreeland Rd. if arriving from Hanover Rd.”\n\nCo-sponsored by: RHODES and SCWARTZ\, AOC and CACI\n\nSpeaker(s): Dr. Philip Pace\, \n\nAg enda: \nDate:\nMonday\, November 7th\, 2022\nTime:\n3:00pm to 9:00pm EST\n Please arrive 30 min early for registration.\nLocation:\nCACI\n12 Vreeland Rd – Cafeteria\nFlorham Park\, NJ 07932\n\nRegistartion link:\n\n[Devel oping Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare Seminar (rohde-schwarz.com)](https://events.rohde-schwarz.com/pro file/form/index.cfm?PKformID=0x21566abcd&source=IEEE)\n\nCACI 12 Vreeland Rd – Cafeteria\, Florham Park\,\, New Jersey\, United States\, 07932 LOCATION:CACI 12 Vreeland Rd – Cafeteria\, Florham Park\,\, New Jersey\, United States\, 07932 ORGANIZER:cherif.chibane@ieee.org SEQUENCE:10 SUMMARY:Developing Digital RF Memories and Transceiver Technologies for Ele ctromagnetic Warfare Seminar URL;VALUE=URI:https://events.vtools.ieee.org/m/328855 X-ALT-DESC:Description: <br /><div>This seminar will focus on modern electr onic support (ES) and electronic attack (EA) techniques using deep learnin g methods. In the afternoon session\, we begin with an examination of pers istent spectrum sensing and signal detection methods starting with an exam ination of both centralized and decentralized electromagnetic spectrum sen sing techniques. We will continue with an overview of how artificial intel ligence (AI) and machine learning (ML) techniques are being used in transc eivers for EMW. This includes model and data parallel training techniques for both centralized and decentralized architectures.</div>\n<div>Registar tion Link:</div>\n<div><a href="https://events.rohde-schwarz.com/profile/f orm/index.cfm?PKformID=0x21566abcd&amp\;source=IEEE">Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare Seminar (rohde-schwarz.com)</a></div>\n<div><br />We follow with an overview on i mportant deep learning techniques that go beyond neural networks (NN). The se include autoencoders\, convolutional NN\, long-\, short-term memories\, restricted and deep Boltzmann machines and generative adversarial network s. We focus on their use for EA applications including how DRFM and UAVs i n a tactical environment can develop a deep learning control strategy. Tra nsfer learning and the importance of federated learning is also addressed. Different types of EA applications include obscuration-EA\, deception-EA\ , and target-EA. We conclude with an examination of the proper clutter coe fficients for deception</div>\n<div>&nbsp\;</div>\n<div><span style="text- decoration: underline\;"><strong>Note to attendees:</strong></span></div>\ n<div><strong style="font-family: 'courier new'\, courier\, monaco\, monos pace\, sans-serif\; color: #4c76a2\;">&ldquo\;Please park on the north sid e of 12 Vreeland Rd. and come in the back door by the cafeteria.&nbsp\; Al l other doors will be locked.&nbsp\; The north parking lot is the second p arking lot on the left as you approach 12 Vreeland Rd. if arriving from Co lumbia Turnpike. &nbsp\;The north parking lot is the first parking lot on the right as you approach 12 Vreeland Rd. if arriving from Hanover Rd.&rdq uo\;&nbsp\;</strong></div><br /><br />Agenda: <br /><p>Date:<br />Monday\, November 7th\, 2022<br />Time:<br />3:00pm to 9:00pm EST<br />Please arri ve 30 min early for registration.<br />Location:<br />CACI<br />12 Vreelan d Rd &ndash\; Cafeteria<br />Florham Park\, NJ 07932<br /><br /></p>\n<p>R egistartion link:</p>\n<p><a href="https://events.rohde-schwarz.com/profil e/form/index.cfm?PKformID=0x21566abcd&amp\;source=IEEE">Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare Semi nar (rohde-schwarz.com)</a></p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR